400 Senior Data Scientist jobs in Bangalore
Data Scientist
Bangalore, Karnataka
IBM
Posted 1 day ago
Job Viewed
Job Description
**Introduction**
We are seeking a highly skilled and experienced Senior Data Scientist with deep expertise in Machine Learning, Deep Learning, and Generative AI. The ideal candidate will have a strong track record of delivering end-to-end data science solutions in production environments and hands-on experience with LLMs and Agentic AI frameworks. You will be responsible for driving AI/ML projects from ideation to deployment, collaborating with cross-functional teams, and ensuring scalable implementations.
**Your role and responsibilities**
* Execute end-to-end Data Science projects including data collection, preprocessing, feature engineering, modelling, evaluation, and deployment.
* Design and implement advanced Machine Learning algorithms (classification, regression, clustering, ensemble methods) and Natural Language Processing algorithms (Knowledge Graphs, Topic Modelling, Feature Extraction, Sentiment Analysis, BERT etc.)
* Develop and deploy Generative AI and LLM-based solutions using platforms like OpenAI, Hugging Face, and LLama.
* Apply Agentic AI frameworks such as LangChain, LangGraph, Crew AI, or Microsoft Semantic Kernel to build intelligent applications.
* Proficient in designing and deploying scalable machine learning solutions using cloud architectures, with hands-on experience in at least one major platform (Azure, AWS, GCP, or IBM Cloud). Skilled in leveraging Databricks, ML platforms, managed databases, web hosting services, and document AI tools for end-to-end solution development.
* Collaborate with business stakeholders to define problem statements, deliver insights, and drive impact.
* Maintain reproducibility and version control using Git, GitHub
* Effectively communicate technical concepts and project outcomes to both technical and non-technical stakeholders.
**Required technical and professional expertise**
* 7-9 years of hands-on experience in Data Science, Machine Learning, Deep Learning, and NLP in a production environment.
* 2+ years of applied experience in Generative AI and LLMs (e.g., OpenAI, LLama).
* Proficiency in agentic AI development using frameworks like LangChain, LangGraph, or similar.
* Strong programming skills in Python and experience with ML/DL libraries
* Experience deploying models via REST APIs or web applications.
* Proficient in SQL for data extraction, transformation, and analysis.
* Experience working with large datasets, feature engineering, and data preprocessing pipelines.
* Solid understanding of model evaluation, cross-validation, and performance metrics.
* Experience in MLOps, including model testing, deployment pipelines, governance frameworks, and continuous monitoring for reliable and compliant machine learning operations.
* Experience with cloud ML pipelines and services (proficiency in at least one of Azure, AWS, GCP & IBM Cloud).
* Strong interpersonal and client communication skills.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
We are seeking a highly skilled and experienced Senior Data Scientist with deep expertise in Machine Learning, Deep Learning, and Generative AI. The ideal candidate will have a strong track record of delivering end-to-end data science solutions in production environments and hands-on experience with LLMs and Agentic AI frameworks. You will be responsible for driving AI/ML projects from ideation to deployment, collaborating with cross-functional teams, and ensuring scalable implementations.
**Your role and responsibilities**
* Execute end-to-end Data Science projects including data collection, preprocessing, feature engineering, modelling, evaluation, and deployment.
* Design and implement advanced Machine Learning algorithms (classification, regression, clustering, ensemble methods) and Natural Language Processing algorithms (Knowledge Graphs, Topic Modelling, Feature Extraction, Sentiment Analysis, BERT etc.)
* Develop and deploy Generative AI and LLM-based solutions using platforms like OpenAI, Hugging Face, and LLama.
* Apply Agentic AI frameworks such as LangChain, LangGraph, Crew AI, or Microsoft Semantic Kernel to build intelligent applications.
* Proficient in designing and deploying scalable machine learning solutions using cloud architectures, with hands-on experience in at least one major platform (Azure, AWS, GCP, or IBM Cloud). Skilled in leveraging Databricks, ML platforms, managed databases, web hosting services, and document AI tools for end-to-end solution development.
* Collaborate with business stakeholders to define problem statements, deliver insights, and drive impact.
* Maintain reproducibility and version control using Git, GitHub
* Effectively communicate technical concepts and project outcomes to both technical and non-technical stakeholders.
**Required technical and professional expertise**
* 7-9 years of hands-on experience in Data Science, Machine Learning, Deep Learning, and NLP in a production environment.
* 2+ years of applied experience in Generative AI and LLMs (e.g., OpenAI, LLama).
* Proficiency in agentic AI development using frameworks like LangChain, LangGraph, or similar.
* Strong programming skills in Python and experience with ML/DL libraries
* Experience deploying models via REST APIs or web applications.
* Proficient in SQL for data extraction, transformation, and analysis.
* Experience working with large datasets, feature engineering, and data preprocessing pipelines.
* Solid understanding of model evaluation, cross-validation, and performance metrics.
* Experience in MLOps, including model testing, deployment pipelines, governance frameworks, and continuous monitoring for reliable and compliant machine learning operations.
* Experience with cloud ML pipelines and services (proficiency in at least one of Azure, AWS, GCP & IBM Cloud).
* Strong interpersonal and client communication skills.
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
This advertiser has chosen not to accept applicants from your region.
0
Data Scientist
Bangalore, Karnataka
Huron Consulting Group
Posted 1 day ago
Job Viewed
Job Description
Huron helps its clients drive growth, enhance performance and sustain leadership in the markets they serve. We help healthcare organizations build innovation capabilities and accelerate key growth initiatives, enabling organizations to own the future, instead of being disrupted by it. Together, we empower clients to create sustainable growth, optimize internal processes and deliver better consumer outcomes.
Health systems, hospitals and medical clinics are under immense pressure to improve clinical outcomes and reduce the cost of providing patient care. Investing in new partnerships, clinical services and technology is not enough to create meaningful and substantive change. To succeed long-term, healthcare organizations must empower leaders, clinicians, employees, affiliates and communities to build cultures that foster innovation to achieve the best outcomes for patients.
Joining the Huron team means you'll help our clients evolve and adapt to the rapidly changing healthcare environment and optimize existing business operations, improve clinical outcomes, create a more consumer-centric healthcare experience, and drive physician, patient and employee engagement across the enterprise.
Join our team as the expert you are now and create your future.
A highly motivated and detail-oriented Associate - Data Scientist with a strong foundation in statistics, machine learning, classification, regression, clustering, recommendation, anomaly detection, Natural Language Processing (NLP) and healthcare data analytics. This role requires hands-on experience in building and deploying predictive models, conducting clustering and segmentation analysis, applying Market Basket Analysis (MBA) for root cause pattern discovery, and utilizing supervised and unsupervised ML techniques to uncover insights from complex datasets. Coordinate with the stakeholders to develop data-driven solutions that address challenges in denials, collections, write-offs, and payment forecasting.
Job Title: Data Scientist
Practice: Healthcare
Level: Associate
Location: Bangalore
Key Responsibilities:
- Analyze large-scale healthcare claims and transaction data (charges, payments, denials, write-offs, etc.)
- Develop and implement predictive models, such as XGBoost, Random Forest, or Logistic Regression, for denial prediction, transaction classification, and payment forecasting
- Apply unsupervised learning techniques (e.g., clustering, MBA) to detect denial root causes, payer patterns, and operational inefficiencies.
- Identify trends and anomalies to support root cause analysis in denials and underpayments
- Build and validate machine learning models likw classification, forecasting, clustering for Denial prediction and pattern recognition, Cash collection forecasting and Write-off root cause analysis
- Use tools such as Python (scikit-learn, XGBoost, pandas), SQL, and AWS services like SageMaker, Athena
- Translate business problems into machine learning problems and deliver solutions with clear, measurable outcomes.
- Collaborate with business stakeholders to define use cases and translate them into analytical models and interactive insights
- Work with large datasets from AWS Redshift, S3, Oracle, SageMaker, Excel, and other sources to preprocess and prepare training datasets
- Provide statistical analysis and model validation to ensure accuracy and reliability on unseen RCM data
- Automate and replace manual Excel-based reports with AI-powered analytics and decision support tools
- Collaborate with data visualization teams to integrate model outputs into business-friendly dashboards using AWS QuickSight or Power BI
- Assist in integrating models into production environments and monitoring performance
- Work closely with domain experts, operations leaders, and client teams to translate business questions into analytical solutions
- Participate in brainstorming sessions for new use cases and innovations
Required Qualifications & Skills:
- 5+ Yrs of experience in analytics and Data science
- Proficient in Python and SQL for data transformation and model building
- Hands-on experience with supervised and unsupervised ML techniques, including clustering, classification, and association rule mining
- Exposure to statistics, hypothesis testing, and model performance evaluation techniques (e.g., ROC-AUC, precision/recall, F1)
- Experience with AWS tools such as SageMaker, Redshift, Athena, S3; familiarity with Snowflake is a plus
- Preferred knowledge on Revenue Cycle Management
- Exposure to Python, SQL and data querying for extracting insights and Excel formulae
- Good communication skills and ability to work with business teams.
- Eagerness to learn cloud-based data tools (AWS, S3, Redshift, Snowflake, etc.)
**Position Level**
Associate
**Country**
India
At Huron, we're redefining what a consulting organization can be. We go beyond advice to deliver results that last. We inherit our client's challenges as if they were our own. We help them transform for the future. We advocate. We make a difference. And we intelligently, passionately, relentlessly do great work.together.
Are you the kind of person who stands ready to jump in, roll up your sleeves and transform ideas into action? Then come discover Huron.
Whether you have years of experience or come right out of college, we invite you to explore our many opportunities. Find out how you can use your talents and develop your skills to make an impact immediately. Learn about how our culture and values provide you with the kind of environment that invites new ideas and innovation. Come see how we collaborate with each other in a culture of learning, coaching, diversity and inclusion. And hear about our unwavering commitment to make a difference in partnership with our clients, shareholders, communities and colleagues.
Huron Consulting Group offers a competitive compensation and benefits package including medical, dental, and vision coverage to employees and dependents; a 401(k) plan with a generous employer match; an employee stock purchase plan; a generous Paid Time Off policy; and paid parental leave and adoption assistance. Our Wellness Program supports employee total well-being by providing free annual health screenings and coaching, bank at work, and on-site workshops, as well as ongoing programs recognizing major events in the lives of our employees throughout the year. All benefits and programs are subject to applicable eligibility requirements.
Huron is fully committed to providing equal employment opportunity to job applicants and employees in recruitment, hiring, employment, compensation, benefits, promotions, transfers, training, and all other terms and conditions of employment. Huron will not discriminate on the basis of age, race, color, gender, marital status, sexual orientation, gender identity, pregnancy, national origin, religion, veteran status, physical or mental disability, genetic information, creed, citizenship or any other status protected by laws or regulations in the locations where we do business. We endeavor to maintain a drug-free workplace.
Health systems, hospitals and medical clinics are under immense pressure to improve clinical outcomes and reduce the cost of providing patient care. Investing in new partnerships, clinical services and technology is not enough to create meaningful and substantive change. To succeed long-term, healthcare organizations must empower leaders, clinicians, employees, affiliates and communities to build cultures that foster innovation to achieve the best outcomes for patients.
Joining the Huron team means you'll help our clients evolve and adapt to the rapidly changing healthcare environment and optimize existing business operations, improve clinical outcomes, create a more consumer-centric healthcare experience, and drive physician, patient and employee engagement across the enterprise.
Join our team as the expert you are now and create your future.
A highly motivated and detail-oriented Associate - Data Scientist with a strong foundation in statistics, machine learning, classification, regression, clustering, recommendation, anomaly detection, Natural Language Processing (NLP) and healthcare data analytics. This role requires hands-on experience in building and deploying predictive models, conducting clustering and segmentation analysis, applying Market Basket Analysis (MBA) for root cause pattern discovery, and utilizing supervised and unsupervised ML techniques to uncover insights from complex datasets. Coordinate with the stakeholders to develop data-driven solutions that address challenges in denials, collections, write-offs, and payment forecasting.
Job Title: Data Scientist
Practice: Healthcare
Level: Associate
Location: Bangalore
Key Responsibilities:
- Analyze large-scale healthcare claims and transaction data (charges, payments, denials, write-offs, etc.)
- Develop and implement predictive models, such as XGBoost, Random Forest, or Logistic Regression, for denial prediction, transaction classification, and payment forecasting
- Apply unsupervised learning techniques (e.g., clustering, MBA) to detect denial root causes, payer patterns, and operational inefficiencies.
- Identify trends and anomalies to support root cause analysis in denials and underpayments
- Build and validate machine learning models likw classification, forecasting, clustering for Denial prediction and pattern recognition, Cash collection forecasting and Write-off root cause analysis
- Use tools such as Python (scikit-learn, XGBoost, pandas), SQL, and AWS services like SageMaker, Athena
- Translate business problems into machine learning problems and deliver solutions with clear, measurable outcomes.
- Collaborate with business stakeholders to define use cases and translate them into analytical models and interactive insights
- Work with large datasets from AWS Redshift, S3, Oracle, SageMaker, Excel, and other sources to preprocess and prepare training datasets
- Provide statistical analysis and model validation to ensure accuracy and reliability on unseen RCM data
- Automate and replace manual Excel-based reports with AI-powered analytics and decision support tools
- Collaborate with data visualization teams to integrate model outputs into business-friendly dashboards using AWS QuickSight or Power BI
- Assist in integrating models into production environments and monitoring performance
- Work closely with domain experts, operations leaders, and client teams to translate business questions into analytical solutions
- Participate in brainstorming sessions for new use cases and innovations
Required Qualifications & Skills:
- 5+ Yrs of experience in analytics and Data science
- Proficient in Python and SQL for data transformation and model building
- Hands-on experience with supervised and unsupervised ML techniques, including clustering, classification, and association rule mining
- Exposure to statistics, hypothesis testing, and model performance evaluation techniques (e.g., ROC-AUC, precision/recall, F1)
- Experience with AWS tools such as SageMaker, Redshift, Athena, S3; familiarity with Snowflake is a plus
- Preferred knowledge on Revenue Cycle Management
- Exposure to Python, SQL and data querying for extracting insights and Excel formulae
- Good communication skills and ability to work with business teams.
- Eagerness to learn cloud-based data tools (AWS, S3, Redshift, Snowflake, etc.)
**Position Level**
Associate
**Country**
India
At Huron, we're redefining what a consulting organization can be. We go beyond advice to deliver results that last. We inherit our client's challenges as if they were our own. We help them transform for the future. We advocate. We make a difference. And we intelligently, passionately, relentlessly do great work.together.
Are you the kind of person who stands ready to jump in, roll up your sleeves and transform ideas into action? Then come discover Huron.
Whether you have years of experience or come right out of college, we invite you to explore our many opportunities. Find out how you can use your talents and develop your skills to make an impact immediately. Learn about how our culture and values provide you with the kind of environment that invites new ideas and innovation. Come see how we collaborate with each other in a culture of learning, coaching, diversity and inclusion. And hear about our unwavering commitment to make a difference in partnership with our clients, shareholders, communities and colleagues.
Huron Consulting Group offers a competitive compensation and benefits package including medical, dental, and vision coverage to employees and dependents; a 401(k) plan with a generous employer match; an employee stock purchase plan; a generous Paid Time Off policy; and paid parental leave and adoption assistance. Our Wellness Program supports employee total well-being by providing free annual health screenings and coaching, bank at work, and on-site workshops, as well as ongoing programs recognizing major events in the lives of our employees throughout the year. All benefits and programs are subject to applicable eligibility requirements.
Huron is fully committed to providing equal employment opportunity to job applicants and employees in recruitment, hiring, employment, compensation, benefits, promotions, transfers, training, and all other terms and conditions of employment. Huron will not discriminate on the basis of age, race, color, gender, marital status, sexual orientation, gender identity, pregnancy, national origin, religion, veteran status, physical or mental disability, genetic information, creed, citizenship or any other status protected by laws or regulations in the locations where we do business. We endeavor to maintain a drug-free workplace.
This advertiser has chosen not to accept applicants from your region.
1
Data Scientist
Bangalore, Karnataka
Colan Infotech Private Limited
Posted 20 days ago
Job Viewed
Job Description
Key Responsibilities:
1.Develop, optimize, and deploy time series models such as ARIMA/SARIMA and Prophet for forecasting and trend analysis.
2.Apply advanced machine learning algorithms including Linear Regression, Logistic Regression, Decision Trees, Random Forest, and XGBoost to solve diverse business challenges.
3.Design, train, and deploy deep learning models like Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), and Recurrent Neural Networks (RNNs) for advanced predictive analytics.
4. Leverage strong statistical knowledge to analyze data, perform hypothesis testing, and derive actionable insights.
5. Collaborate with cross-functional teams to understand business objectives and deliver data-driven solutions.
6. Communicate complex technical results effectively to stakeholders through reports, dashboards, and presentations.
This advertiser has chosen not to accept applicants from your region.
2
Data Scientist
560048 Bangalore City, Karnataka
Thoucentric
Posted 316 days ago
Job Viewed
Job Description
At Thoucentric, we work on various problem statements.
The most popular ones are - Building capabilities that address a market need, basis our ongoing research efforts Solving a specific use case for a current or potential client based on challenges on-ground Developing new systems that help be a better employer and a better partner to clientsAll of these need the best of minds to work on them day-to-day ; and we do exactly that! Your contribution to organization development is as important as outward facing consulting. We are invested in both, employee growth and client success! Role SummaryWe are looking for Data Scientists to help us create innovative machine learning solutions. Data Scientist responsibilities include understanding the business problem and experimenting with different modelling architectures to create the best possible setup from model performance as well as computational performance. To do this job successfully, you need exceptional skills in Machine Learning and Programming. Your goal will be to find the best data-based solution for the problem at hand.
Please apply only if you have strong hands-on experience (>2years) in solving complex business problems through advanced ML & DL techniques. Deep Learning Model Development experience is a must for this role.
Job Description Understanding business objectives and formulating the problem as a Data Science problemDesign, train, and deliver Data Science solutions using all modalities (tabular, text, image) and of all sizes(small, or big data)Develop and maintain robust data processing pipelines and reproducible modelling pipelinesExplore data and communicate insights clearly to non-technical as well as technical audiencesAnalyze experimental results, iterate and refine models to create significant business impact.Ability to guide and mentor junior Data Scientists on solution developmentRequirements Requirements Bachelor’s Degree in a Quantitative discipline, preferably Computer Science>3 years’ experience in data science/Analytics rolesProven experience as a Data Scientist or similar roleExpert ability to write robust code in PythonExpert skill at manipulating data frames using Pandas and arrays using NumpyFamiliarity with standard machine learning libraries (like scikit-learn , StatsModels)Excellent verbal and written communication skillsYou take complete ownership of your work and are self-driven. Good to Have Deep Learning Frameworks like Tensorflow, PyTorch etc.Working knowledge of OpenCVCompleted Projects on Computer Vision and Natural Language ProcessingExpert level proficiency in Multivariate Time Series Forecasting or Causal ForecastingIn-depth understanding of classical statistical forecasting algorithms like ARIMA, ETS, etc. as well as new age algorithms like N-Beats.Proven experience is handling Time Series Forecasting using standard Regression algorithms like Linear Regression, Gradient Boosted Decision Trees, Random forest, etc.Good practical knowledge with Sequence Models in Deep Learning, like LSTMs, Transformers, etc. especially in the context of Time Series Forecasting.Proficiency with at least one Deep Learning Framework such as PyTorch, Tensorflow, etcBenefitsWhat a Data Scientist Role at Thoucentric will offer you?
· Opportunity to define your career path and not as enforced by a manager
· A great consulting environment with a chance to work with Fortune 500 companies and startups alike.
· A dynamic but relaxed and supportive working environment that encourages personal development.
· Be part of One Extended Family. We bond beyond work - sports, get-togethers, common interests etc. Work in a very enriching environment with Open Culture, Flat Organization and Excellent Peer Group.
· Be part of the exciting Growth Story of Thoucentric!
This advertiser has chosen not to accept applicants from your region.
3
Data Scientist
560048 Bangalore City, Karnataka
Thoucentric
Posted 316 days ago
Job Viewed
Job Description
At Thoucentric, we work on various problem statements.
The most popular ones are - Building capabilities that address a market need, basis our ongoing research efforts Solving a specific use case for a current or potential client based on challenges on-ground Developing new systems that help be a better employer and a better partner to clientsAll of these need the best of minds to work on them day-to-day ; and we do exactly that! Your contribution to organization development is as important as outward facing consulting. We are invested in both, employee growth and client success! Role SummaryWe are looking for Data Scientists to help us create innovative machine learning solutions. Data Scientist responsibilities include understanding the business problem and experimenting with different modelling architectures to create the best possible setup from model performance as well as computational performance. To do this job successfully, you need exceptional skills in Machine Learning and Programming. Your goal will be to find the best data-based solution for the problem at hand.
Please apply only if you have strong hands-on experience (>2years) in solving complex business problems through advanced ML & DL techniques. Deep Learning Model Development experience is a must for this role.
Job Description Understanding business objectives and formulating the problem as a Data Science problemDesign, train, and deliver Data Science solutions using all modalities (tabular, text, image) and of all sizes(small, or big data)Develop and maintain robust data processing pipelines and reproducible modelling pipelinesExplore data and communicate insights clearly to non-technical as well as technical audiencesAnalyze experimental results, iterate and refine models to create significant business impact.Ability to guide and mentor junior Data Scientists on solution developmentRequirements Requirements Bachelor’s Degree in a Quantitative discipline, preferably Computer Science>3 years’ experience in data science/Analytics rolesProven experience as a Data Scientist or similar roleExpert ability to write robust code in PythonExpert skill at manipulating data frames using Pandas and arrays using NumpyFamiliarity with standard machine learning libraries (like scikit-learn , StatsModels)Excellent verbal and written communication skillsYou take complete ownership of your work and are self-driven. Good to Have Deep Learning Frameworks like Tensorflow, PyTorch etc.Working knowledge of OpenCVCompleted Projects on Computer Vision and Natural Language ProcessingExpert level proficiency in Multivariate Time Series Forecasting or Causal ForecastingIn-depth understanding of classical statistical forecasting algorithms like ARIMA, ETS, etc. as well as new age algorithms like N-Beats.Proven experience is handling Time Series Forecasting using standard Regression algorithms like Linear Regression, Gradient Boosted Decision Trees, Random forest, etc.Good practical knowledge with Sequence Models in Deep Learning, like LSTMs, Transformers, etc. especially in the context of Time Series Forecasting.Proficiency with at least one Deep Learning Framework such as PyTorch, Tensorflow, etcBenefitsWhat a Data Scientist Role at Thoucentric will offer you?
· Opportunity to define your career path and not as enforced by a manager
· A great consulting environment with a chance to work with Fortune 500 companies and startups alike.
· A dynamic but relaxed and supportive working environment that encourages personal development.
· Be part of One Extended Family. We bond beyond work - sports, get-togethers, common interests etc. Work in a very enriching environment with Open Culture, Flat Organization and Excellent Peer Group.
· Be part of the exciting Growth Story of Thoucentric!
This advertiser has chosen not to accept applicants from your region.
4
Principal Data Scientist
Bangalore, Karnataka
Microsoft Corporation
Posted today
Job Viewed
Job Description
Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? Then, come join us!
The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.
We work closely with our customers' engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.
We are hiring a Principal Data Scientist to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.
As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ You will oversee data acquisition and ensure data is properly formatted and described.You'llalso coach engineers in data cleaning and analysis best practices,identifygaps in current data sets, and drive ethics and privacy discussions around data collection and preparation.
+ You will evaluate your team's models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale.You'llalso conduct thorough reviews of data analysis and modelingtechniques, andidentifyand invent new evaluation methods.
+ You will research andmaintaina deep knowledge of the industry, including trends and technologies, so that you canidentifystrategy opportunities and contribute to thought leadership best practices.You'llalso write extensible code that spans multiplefeatures, anddevelopexpertisein proper debugging techniques.
+ You will define business, customer, and solution strategy goals, and partner with other teams toidentifyand explore new opportunities.You'llalso commit to a customer-oriented focus by acknowledging theirneeds, andoffercustomerpragmatic solutions that align with their data capabilities.
+ You will embodyourculture ( andvalues ( .
**Qualifications**
**Required/Minimum Qualifications (RQs/MQs)**
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ ORMaster's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ ORBachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ OR equivalent experience.
+ 3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
**Additional** **or Preferred Qualifications (PQs)**
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ ORMaster's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ ORBachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results
+ OR equivalent experience.
+ Enjoy travel and are comfortable with travel up to 25%
Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!
At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers. It's an informal and flexible work environment and you'll be welcome to work in the way that best enables you to get your job done.
We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.
We work closely with our customers' engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.
We are hiring a Principal Data Scientist to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.
As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ You will oversee data acquisition and ensure data is properly formatted and described.You'llalso coach engineers in data cleaning and analysis best practices,identifygaps in current data sets, and drive ethics and privacy discussions around data collection and preparation.
+ You will evaluate your team's models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale.You'llalso conduct thorough reviews of data analysis and modelingtechniques, andidentifyand invent new evaluation methods.
+ You will research andmaintaina deep knowledge of the industry, including trends and technologies, so that you canidentifystrategy opportunities and contribute to thought leadership best practices.You'llalso write extensible code that spans multiplefeatures, anddevelopexpertisein proper debugging techniques.
+ You will define business, customer, and solution strategy goals, and partner with other teams toidentifyand explore new opportunities.You'llalso commit to a customer-oriented focus by acknowledging theirneeds, andoffercustomerpragmatic solutions that align with their data capabilities.
+ You will embodyourculture ( andvalues ( .
**Qualifications**
**Required/Minimum Qualifications (RQs/MQs)**
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ ORMaster's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ ORBachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ OR equivalent experience.
+ 3+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
**Additional** **or Preferred Qualifications (PQs)**
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ ORMaster's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ ORBachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results
+ OR equivalent experience.
+ Enjoy travel and are comfortable with travel up to 25%
Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!
At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers. It's an informal and flexible work environment and you'll be welcome to work in the way that best enables you to get your job done.
We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
This advertiser has chosen not to accept applicants from your region.
5
Principal Data Scientist
Bangalore, Karnataka
Microsoft Corporation
Posted 1 day ago
Job Viewed
Job Description
Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? Then, come join us!
The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.
We work closely with our customers' engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.
We are hiring a Principal Data Scientist to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.
As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ You will oversee data acquisition and ensure data is properly formatted and described.You'llalso coach engineers in data cleaning and analysis best practices,identifygaps in current data sets, and drive ethics and privacy discussions around data collection and preparation.
+ You will evaluate your team's models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale.You'llalso conduct thorough reviews of data analysis and modelingtechniques, andidentifyand invent new evaluation methods.
+ You will research andmaintaina deep knowledge of the industry, including trends and technologies, so that you canidentifystrategy opportunities and contribute to thoughtleadershipbest practices.You'llalso write extensible code that spans multiplefeatures, anddevelopexpertisein proper debugging techniques.
+ You will define business, customer, and solution strategy goals, and partner with other teams toidentifyand explore new opportunities.You'llalso commit to a customer-oriented focus by acknowledging theirneeds, andoffercustomerpragmatic solutions that align with their data capabilities.
+ You will embodyourculture ( andvalues ( .
**Qualifications**
**Required/Minimum Qualifications (RQs/MQs)**
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ ORMaster's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ ORBachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ OR equivalent experience.
+ 3+yearscustomer-facing, project-delivery experience, professional services, and/or consulting experience.
**Additional** **or Preferred Qualifications (PQs)**
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ ORMaster's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ ORBachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results
+ OR equivalent experience.
+ Enjoy travel and are comfortable with travel up to 25%
Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!
At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers. It's an informal and flexible work environment and you'll be welcome to work in the way that best enables you to get your job done.
We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.
ISE is hiring globally! Check out our other open DS positions here > .
#ISEngineering
#WSS
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.
We work closely with our customers' engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.
We are hiring a Principal Data Scientist to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.
As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ You will oversee data acquisition and ensure data is properly formatted and described.You'llalso coach engineers in data cleaning and analysis best practices,identifygaps in current data sets, and drive ethics and privacy discussions around data collection and preparation.
+ You will evaluate your team's models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale.You'llalso conduct thorough reviews of data analysis and modelingtechniques, andidentifyand invent new evaluation methods.
+ You will research andmaintaina deep knowledge of the industry, including trends and technologies, so that you canidentifystrategy opportunities and contribute to thoughtleadershipbest practices.You'llalso write extensible code that spans multiplefeatures, anddevelopexpertisein proper debugging techniques.
+ You will define business, customer, and solution strategy goals, and partner with other teams toidentifyand explore new opportunities.You'llalso commit to a customer-oriented focus by acknowledging theirneeds, andoffercustomerpragmatic solutions that align with their data capabilities.
+ You will embodyourculture ( andvalues ( .
**Qualifications**
**Required/Minimum Qualifications (RQs/MQs)**
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND5+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ ORMaster's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ ORBachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ OR equivalent experience.
+ 3+yearscustomer-facing, project-delivery experience, professional services, and/or consulting experience.
**Additional** **or Preferred Qualifications (PQs)**
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND8+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ ORMaster's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ ORBachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results
+ OR equivalent experience.
+ Enjoy travel and are comfortable with travel up to 25%
Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!
At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers. It's an informal and flexible work environment and you'll be welcome to work in the way that best enables you to get your job done.
We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.
ISE is hiring globally! Check out our other open DS positions here > .
#ISEngineering
#WSS
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
This advertiser has chosen not to accept applicants from your region.
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6
Lead Data Scientist
Bangalore, Karnataka
UnitedHealth Group
Posted 1 day ago
Job Viewed
Job Description
Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start **Caring. Connecting. Growing together.**
**Primary Responsibilities:**
+ Data scientists analyze and interpret complex data to help organizations make informed decisions
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ AI Scientist
+ Master's or Relavant in Computer Science, Machine Learning, or related field
+ 8+ years of experience in AIML engineering and research
+ Experience with experiment tracking tools (e.g., Weights & Biases, MLflow)
+ Hands-on experience with MLOps, model deployment, and monitoring
+ Proven expertise in LLMs, generative AI, and deep learning
+ Solid programming skills in Python and familiarity with ML libraries (e.g., scikit-learn, Keras)
+ Familiarity with AIML governance, ethics, and responsible AI practices
+ Key Skills:
+ Proficiency AutoML: Automated Machine Learning (AutoML) tools like H2O.ai, Google Cloud AutoML, and DataRobot
+ Solid statistical and mathematical knowledge
+ Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as
+ Python, R, and SQL
+ Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil
+ Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks - Feedforward, CNN, LSTM's GRU's is a plus.
+ Optimization techniques - Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets - Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing
+ Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono
+ Exposure or experience using collaboration tools such as: Confluence (Documentation)
+ Synthetic Data Generation: Tools like Gretel.ai and Synthea are used to generate synthetic data, which can be useful for training models when real data is scarce or sensitive
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
#Nic
**Primary Responsibilities:**
+ Data scientists analyze and interpret complex data to help organizations make informed decisions
+ Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
**Required Qualifications:**
+ AI Scientist
+ Master's or Relavant in Computer Science, Machine Learning, or related field
+ 8+ years of experience in AIML engineering and research
+ Experience with experiment tracking tools (e.g., Weights & Biases, MLflow)
+ Hands-on experience with MLOps, model deployment, and monitoring
+ Proven expertise in LLMs, generative AI, and deep learning
+ Solid programming skills in Python and familiarity with ML libraries (e.g., scikit-learn, Keras)
+ Familiarity with AIML governance, ethics, and responsible AI practices
+ Key Skills:
+ Proficiency AutoML: Automated Machine Learning (AutoML) tools like H2O.ai, Google Cloud AutoML, and DataRobot
+ Solid statistical and mathematical knowledge
+ Deep Learning algorithm techniques, open source tools and technologies, statistical tools, and programming environments such as
+ Python, R, and SQL
+ Classical Machine Learning Algorithms like Logistic Regression, Decision trees, Clustering (K-means, Hierarchical and Self-organizing Maps), TSNE, PCA, Bayesian models, Time Series ARIMA/ARMA, Recommender Systems - Collaborative Filtering, FPMC, FISM, Fossil
+ Deep Learning algorithm techniques like Random Forest, GBM, KNN, SVM, Bayesian, Text Mining techniques, Multilayer Perceptron, Neural Networks - Feedforward, CNN, LSTM's GRU's is a plus.
+ Optimization techniques - Activity regularization (L1 and L2), Adam, Adagrad, Adadelta concepts; Cost Functions in Neural Nets - Contrastive Loss, Hinge Loss, Binary Cross entropy, Categorical Cross entropy; developed applications in KRR, NLP, Speech and Image processing
+ Deep Learning frameworks for Production Systems like Tensorflow, Keras (for RPD and neural net architecture evaluation), PyTorch and Xgboost, Caffe, and Theono
+ Exposure or experience using collaboration tools such as: Confluence (Documentation)
+ Synthetic Data Generation: Tools like Gretel.ai and Synthea are used to generate synthetic data, which can be useful for training models when real data is scarce or sensitive
_At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission._
#Nic
This advertiser has chosen not to accept applicants from your region.
7
Principal Data Scientist
Bangalore, Karnataka
Microsoft Corporation
Posted 1 day ago
Job Viewed
Job Description
The Microsoft Teams Data Science team's charter is to foster a data-driven culture to encourage and enable the entire organization to make more informed decisions through data. Our data and analytics team works closely with engineering, marketing, finance, and business leaders to identify opportunities for improving the customer experience and accelerate our business's growth in support of this mission. This is a unique opportunity to bring your knowledge of enterprise software offerings, as well as your understanding of data science methods and best practices, to help Microsoft deliver the best experience possible for our customers and partners.
We are a modern product and services organization, one of the largest business & consumer services on the planet, with over 300 million monthly active users. Data scientists on this team will be part of the broader data science team, and specific product teams focused on tangible and immediate business impact.
We are looking for a highly skilled **Principal Data Scientist** to work on some of the biggest changes in how users collaborate in Teams including mobile, search, notifications, and copilot. Our goal is to enhance these features, improving the mobile user experience, helping users stay on top of their tasks, and enhancing the search experience. Data is key to getting it right! This role requires technical depth and experience leveraging statistics, data analysis, and visualization to drive business insights that lead to action and successful business outcomes.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Work with other teams across Microsoft to develop key metrics to achieve business outcomes.
+ Work cross functionally to translate business problems into ones that can be solved and informed by data.
+ Communicate vision and strategy, enabling global teams to operate independently to deliver success
+ Have curiosity and apply analytical skills to dive deep into data to find key insights that impact the business.
+ Develop models of usage, user behavior & business behavior to make recommendations and influence the product road map.
+ Be a champion of AB testing. Design, execute and analyze experiments to prove product change attribution.
+ Utilize tools like SQL, R, Python to execute analyses.
+ Grow and develop top talent - build and cultivate a highly functioning team of data scientists grounded in the objective truth of the measured customer experience.
+ Develop and manage relationships with product and business leaders across the organization to understand objectives and identify opportunities. Collaborate closely with other Microsoft Data Science and Data Engineering teams to deliver data-informed solutions to address the business's most essential needs.
**Qualifications**
**Required Qualifications:**
+ Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 9+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
**Other Requirements:**
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
+ **Microsoft Cloud Background Check:** This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
**Preferred Qualifications:**
+ 3+ years leading and growing a team of data scientists.
+ 7+ years leveraging passion for and understanding the need to deliver the right business impact by working with stakeholders to turn business problems into data analysis questions and unearthing deep insights from data.
+ Experience as a data scientist for an online service, app, or Web site with millions of users. Experience working on an online collaboration, video conference, or messaging product is a plus.
+ Have a track record of innovative thinking and problem-solving skills using Big Data.
+ Have the ability to deliver on ambiguous projects with incomplete data.
+ 7+ years leveraging the practical uses of statistics (i.e. experimentation, statistical modeling)
+ Professional experience with large-scale computing systems like Hadoop, MapReduce, and/or similar systems.
+ 7+ years of professional experience in SQL, R, Python, or related tools for large-scale analysis.
+ Ability to convince others of their ideas and communicate complex analysis & insights to a non-technical audience.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
We are a modern product and services organization, one of the largest business & consumer services on the planet, with over 300 million monthly active users. Data scientists on this team will be part of the broader data science team, and specific product teams focused on tangible and immediate business impact.
We are looking for a highly skilled **Principal Data Scientist** to work on some of the biggest changes in how users collaborate in Teams including mobile, search, notifications, and copilot. Our goal is to enhance these features, improving the mobile user experience, helping users stay on top of their tasks, and enhancing the search experience. Data is key to getting it right! This role requires technical depth and experience leveraging statistics, data analysis, and visualization to drive business insights that lead to action and successful business outcomes.
Microsoft's mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
**Responsibilities**
+ Work with other teams across Microsoft to develop key metrics to achieve business outcomes.
+ Work cross functionally to translate business problems into ones that can be solved and informed by data.
+ Communicate vision and strategy, enabling global teams to operate independently to deliver success
+ Have curiosity and apply analytical skills to dive deep into data to find key insights that impact the business.
+ Develop models of usage, user behavior & business behavior to make recommendations and influence the product road map.
+ Be a champion of AB testing. Design, execute and analyze experiments to prove product change attribution.
+ Utilize tools like SQL, R, Python to execute analyses.
+ Grow and develop top talent - build and cultivate a highly functioning team of data scientists grounded in the objective truth of the measured customer experience.
+ Develop and manage relationships with product and business leaders across the organization to understand objectives and identify opportunities. Collaborate closely with other Microsoft Data Science and Data Engineering teams to deliver data-informed solutions to address the business's most essential needs.
**Qualifications**
**Required Qualifications:**
+ Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 12+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 9+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
+ Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
**Other Requirements:**
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
+ **Microsoft Cloud Background Check:** This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
**Preferred Qualifications:**
+ 3+ years leading and growing a team of data scientists.
+ 7+ years leveraging passion for and understanding the need to deliver the right business impact by working with stakeholders to turn business problems into data analysis questions and unearthing deep insights from data.
+ Experience as a data scientist for an online service, app, or Web site with millions of users. Experience working on an online collaboration, video conference, or messaging product is a plus.
+ Have a track record of innovative thinking and problem-solving skills using Big Data.
+ Have the ability to deliver on ambiguous projects with incomplete data.
+ 7+ years leveraging the practical uses of statistics (i.e. experimentation, statistical modeling)
+ Professional experience with large-scale computing systems like Hadoop, MapReduce, and/or similar systems.
+ 7+ years of professional experience in SQL, R, Python, or related tools for large-scale analysis.
+ Ability to convince others of their ideas and communicate complex analysis & insights to a non-technical audience.
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .
This advertiser has chosen not to accept applicants from your region.
8
Lead Data Scientist
Bangalore, Karnataka
Chevron Corporation
Posted 1 day ago
Job Viewed
Job Description
Total Number of Openings
2
**About the position:**
Chevron invites applications for the role of Lead Data Scientist in India. This position is integral to designing and developing AI/ML models that significantly accelerate the delivery of business value. The successful candidate will be working with business stakeholders to prototype and deliver innovative data science applications that add value to Chevron's business. This position will provide broad exposure to the application of technology to enable business with many opportunities for growth and professional development for the candidate.
**Key Responsibilities:**
+ Combine expertise in mathematics, statistics, computer science, and domain knowledge to create AI/ML models to solve various Chevron business challenges
+ Collaborate closely with the AI Technical Manager and GCC Petro-technical professionals and data engineers to integrate models into the business framework.
+ Identify and frame opportunities to apply advanced analytics, modeling, and related technologies to data to help Chevron businesses gain insight and improve decision making, workflow, and automation.
+ Understand and communicate the value of proposed opportunity with team members and other stakeholders.
+ Identify needed data and appropriate technology to solve identified business challenges.
+ Clean data and develop and test models.
+ Establish the life cycle management process for models.
+ Provide technical mentoring in modelling and analytics technologies, the specifics of the modelling process, and general consulting skills.
+ Drive innovation in AI/ML to enhance Chevron's capabilities in data-driven decision-making.
+ Aligns with team on shared goals and outcomes, recognizes others' contributions, and work collaboratively & seek diverse perspectives.
+ Takes actions to develop self and others beyond existing skillset.
+ Encourages innovative ideas, adapts to change and changing technologies
+ Understand and communicate data, insights, and model behaviours to stakeholders with varying levels of technical expertise.
**Required Qualifications:**
+ Minimum 5 years of experience in designing and developing AI/ML models and/or various optimization algorithms. 10- 15 years of experience
+ Solid foundation in mathematics, probability, and statistics with demonstrated depth of knowledge and experience in advanced analytics and data science methodologies (e.g. supervised and unsupervised learning, statistics, data science model development)
+ Proficiency in Python and working knowledge of cloud AI/ML services (Azure Machine Learning and Databricks preferred)
+ Domain knowledge relevant to the energy sector and working knowledge of Oil and Gas value chain (e.g., upstream, midstream, or downstream) and associated business workflows.
+ Proven ability to frame data science opportunities, leverage standard foundational tools and Azure services to perform exploratory data analysis (for purposes of data cleaning and discovery), visualize data, and identify actions to reach needed results.
+ Ability to quickly assess current state and apply technical concepts across cross-functional business workflows.
+ Experience with driving successful execution, deliverables, and accountabilities to meet quality and schedule goals.
+ Ability to translate complex data into actionable insights that drive business value.
+ Demonstrated ability to engage and establish collaborative relationships both inside and outside immediate workgroup at various organizational levels, across functional and geographic boundaries to achieve desired outcomes.
+ Demonstrated ability to adjust behaviour based on feedback and provide feedback to others.
+ Team-oriented mindset with effective communication skills and the ability to work collaboratively.
Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1.30pm to 10.30pm.
Chevron participates in E-Verify in certain locations as required by law.
Chevron Corporation is one of the world's leading integrated energy companies. Through its subsidiaries that conduct business worldwide, the company is involved in virtually every facet of the energy industry. Chevron explores for, produces and transports crude oil and natural gas; refines, markets and distributes transportation fuels and lubricants; manufactures and sells petrochemicals and additives; generates power; and develops and deploys technologies that enhance business value in every aspect of the company's operations. Chevron is based in Houston, Texas. More information about Chevron is available at .
Chevron is an Equal Opportunity / Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or other status protected by law or regulation.
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**About the position:**
Chevron invites applications for the role of Lead Data Scientist in India. This position is integral to designing and developing AI/ML models that significantly accelerate the delivery of business value. The successful candidate will be working with business stakeholders to prototype and deliver innovative data science applications that add value to Chevron's business. This position will provide broad exposure to the application of technology to enable business with many opportunities for growth and professional development for the candidate.
**Key Responsibilities:**
+ Combine expertise in mathematics, statistics, computer science, and domain knowledge to create AI/ML models to solve various Chevron business challenges
+ Collaborate closely with the AI Technical Manager and GCC Petro-technical professionals and data engineers to integrate models into the business framework.
+ Identify and frame opportunities to apply advanced analytics, modeling, and related technologies to data to help Chevron businesses gain insight and improve decision making, workflow, and automation.
+ Understand and communicate the value of proposed opportunity with team members and other stakeholders.
+ Identify needed data and appropriate technology to solve identified business challenges.
+ Clean data and develop and test models.
+ Establish the life cycle management process for models.
+ Provide technical mentoring in modelling and analytics technologies, the specifics of the modelling process, and general consulting skills.
+ Drive innovation in AI/ML to enhance Chevron's capabilities in data-driven decision-making.
+ Aligns with team on shared goals and outcomes, recognizes others' contributions, and work collaboratively & seek diverse perspectives.
+ Takes actions to develop self and others beyond existing skillset.
+ Encourages innovative ideas, adapts to change and changing technologies
+ Understand and communicate data, insights, and model behaviours to stakeholders with varying levels of technical expertise.
**Required Qualifications:**
+ Minimum 5 years of experience in designing and developing AI/ML models and/or various optimization algorithms. 10- 15 years of experience
+ Solid foundation in mathematics, probability, and statistics with demonstrated depth of knowledge and experience in advanced analytics and data science methodologies (e.g. supervised and unsupervised learning, statistics, data science model development)
+ Proficiency in Python and working knowledge of cloud AI/ML services (Azure Machine Learning and Databricks preferred)
+ Domain knowledge relevant to the energy sector and working knowledge of Oil and Gas value chain (e.g., upstream, midstream, or downstream) and associated business workflows.
+ Proven ability to frame data science opportunities, leverage standard foundational tools and Azure services to perform exploratory data analysis (for purposes of data cleaning and discovery), visualize data, and identify actions to reach needed results.
+ Ability to quickly assess current state and apply technical concepts across cross-functional business workflows.
+ Experience with driving successful execution, deliverables, and accountabilities to meet quality and schedule goals.
+ Ability to translate complex data into actionable insights that drive business value.
+ Demonstrated ability to engage and establish collaborative relationships both inside and outside immediate workgroup at various organizational levels, across functional and geographic boundaries to achieve desired outcomes.
+ Demonstrated ability to adjust behaviour based on feedback and provide feedback to others.
+ Team-oriented mindset with effective communication skills and the ability to work collaboratively.
Chevron ENGINE supports global operations, supporting business requirements across the world. Accordingly, the work hours for employees will be aligned to support business requirements. The standard work week will be Monday to Friday. Working hours are 8:00am to 5:00pm or 1.30pm to 10.30pm.
Chevron participates in E-Verify in certain locations as required by law.
Chevron Corporation is one of the world's leading integrated energy companies. Through its subsidiaries that conduct business worldwide, the company is involved in virtually every facet of the energy industry. Chevron explores for, produces and transports crude oil and natural gas; refines, markets and distributes transportation fuels and lubricants; manufactures and sells petrochemicals and additives; generates power; and develops and deploys technologies that enhance business value in every aspect of the company's operations. Chevron is based in Houston, Texas. More information about Chevron is available at .
Chevron is an Equal Opportunity / Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status, or other status protected by law or regulation.
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