17,778 Data Science Competitions jobs in India
Data Scientist (machine learning, statistical modeling and NLP applications)
Bengaluru, Karnataka
AT&T
Posted 4 days ago
Job Viewed
Job Description
**Job Description:**
**Key Responsibilities**
**Text Embeddings & NLP**
-Must have 3+ Years of experience on traditional ML.
-Must have 3+ Years of experience working as Data scientist.
Design and implement pipelines leveraging text embeddings for semantic search, classification, clustering, and document retrieval.
- Work with embedding techniques such as TF-IDF, Word2Vec, GloVe, FastText, and transformer-based models including BERT, Sentence-BERT, OpenAI, and Azure OpenAI embeddings.
- Apply dimensionality reduction methods (PCA, t-SNE, UMAP) to analyze and visualize embedding spaces.
- Use cosine similarity, Euclidean distance, and approximate nearest neighbor algorithms like FAISS and ScaNN for similarity search and clustering.
- Integrate embedding outputs into downstream applications such as intent detection, topic modeling, semantic deduplication, document ranking, and retrieval systems.
***Traditional Machine Learning & Statistical Modeling***
- Build and deploy predictive models with logistic/linear regression, random forests, gradient boosting techniques (XGBoost, LightGBM), SVM, Naive Bayes, k-means, and hierarchical clustering.
- Employ statistical inference techniques including hypothesis testing, confidence intervals, bootstrapping, Bayesian inference, multicollinearity diagnostics, residual analysis, and time series forecasting (ARIMA, SARIMA).
- Evaluate model performance using ROC/Precision-Recall curves, AUC, confusion matrices, F1-score, lift/gain charts, and KS statistics.
- Conduct feature selection via Lasso/Ridge regression, recursive feature elimination (RFE), and SHAP values for interpretability.
**Experimentation & Causal Inference**
- Design and analyze A/B and multivariate tests, DOE experiments, and sophisticated causal inference methods including propensity score matching, causal forests, and difference-in-differences.
- Translate experimental results into clear, actionable business insights that drive measurable outcomes.
**Data Engineering & Productionization**
- Develop scalable data pipelines using PySpark, SQL, and Azure Data Factory on platforms including Azure Data Lake, Databricks, MongoDB, and Cosmos DB.
- Deploy machine learning solutions with FastAPI, Docker containers, and Azure App Services endpoints, while monitoring model health with MLflow and model drift.
***Collaboration & Leadership***
- Partner effectively with engineering, product, and business teams to define problem statements and deliver impactful solutions.
- Lead technical discussions, perform code reviews, and mentor junior data scientists to foster technical growth.
- Communicate complex analytical insights clearly to both technical and non-technical stakeholders.
**Required Skills and Qualifications**
Hands-on experience in machine learning, statistical modeling, and NLP applications.
- Deep expertise in text embeddings and their real-world applications.
- Proficiency in Python, PySpark, and SQL.
- Strong foundation in statistical inference, model diagnostics, and evaluation metrics.
- Experience working with Azure cloud ecosystem, Databricks, and production deployment of ML models.
- Proven ability to design, execute, and interpret experiments with statistical rigor.
**Preferred (Good-to-Have) Skills**
- Familiarity with transformer-based large language models (LLMs), LangChain, or OpenAI APIs.
- Experience with MLOps tools such as MLflow and Github Actions CI/CD pipelines with Azure App Services.
- Exposure to graph analytics, retrieval-augmented generation (RAG) pipelines, or agent-based systems.
**Day-to-Day Responsibilities**
You will architect and implement advanced NLP and machine learning pipelines leveraging diverse text embeddings for semantic search, classification, and clustering tasks. Applying sound statistical modeling and causal inference techniques, you will lead experimentation efforts and build scalable data workflows using PySpark, SQL, and Azure services. Cross-functional collaboration will be a core part of your role as you translate analytical insights into strategic business outcomes.
**Weekly Hours:**
40
**Time Type:**
Regular
**Location:**
IND:KA:Bengaluru / Innovator Building, Itpb, Whitefield Rd - Adm: Intl Tech Park, Innovator Bldg
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws
We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status
**Key Responsibilities**
**Text Embeddings & NLP**
-Must have 3+ Years of experience on traditional ML.
-Must have 3+ Years of experience working as Data scientist.
Design and implement pipelines leveraging text embeddings for semantic search, classification, clustering, and document retrieval.
- Work with embedding techniques such as TF-IDF, Word2Vec, GloVe, FastText, and transformer-based models including BERT, Sentence-BERT, OpenAI, and Azure OpenAI embeddings.
- Apply dimensionality reduction methods (PCA, t-SNE, UMAP) to analyze and visualize embedding spaces.
- Use cosine similarity, Euclidean distance, and approximate nearest neighbor algorithms like FAISS and ScaNN for similarity search and clustering.
- Integrate embedding outputs into downstream applications such as intent detection, topic modeling, semantic deduplication, document ranking, and retrieval systems.
***Traditional Machine Learning & Statistical Modeling***
- Build and deploy predictive models with logistic/linear regression, random forests, gradient boosting techniques (XGBoost, LightGBM), SVM, Naive Bayes, k-means, and hierarchical clustering.
- Employ statistical inference techniques including hypothesis testing, confidence intervals, bootstrapping, Bayesian inference, multicollinearity diagnostics, residual analysis, and time series forecasting (ARIMA, SARIMA).
- Evaluate model performance using ROC/Precision-Recall curves, AUC, confusion matrices, F1-score, lift/gain charts, and KS statistics.
- Conduct feature selection via Lasso/Ridge regression, recursive feature elimination (RFE), and SHAP values for interpretability.
**Experimentation & Causal Inference**
- Design and analyze A/B and multivariate tests, DOE experiments, and sophisticated causal inference methods including propensity score matching, causal forests, and difference-in-differences.
- Translate experimental results into clear, actionable business insights that drive measurable outcomes.
**Data Engineering & Productionization**
- Develop scalable data pipelines using PySpark, SQL, and Azure Data Factory on platforms including Azure Data Lake, Databricks, MongoDB, and Cosmos DB.
- Deploy machine learning solutions with FastAPI, Docker containers, and Azure App Services endpoints, while monitoring model health with MLflow and model drift.
***Collaboration & Leadership***
- Partner effectively with engineering, product, and business teams to define problem statements and deliver impactful solutions.
- Lead technical discussions, perform code reviews, and mentor junior data scientists to foster technical growth.
- Communicate complex analytical insights clearly to both technical and non-technical stakeholders.
**Required Skills and Qualifications**
Hands-on experience in machine learning, statistical modeling, and NLP applications.
- Deep expertise in text embeddings and their real-world applications.
- Proficiency in Python, PySpark, and SQL.
- Strong foundation in statistical inference, model diagnostics, and evaluation metrics.
- Experience working with Azure cloud ecosystem, Databricks, and production deployment of ML models.
- Proven ability to design, execute, and interpret experiments with statistical rigor.
**Preferred (Good-to-Have) Skills**
- Familiarity with transformer-based large language models (LLMs), LangChain, or OpenAI APIs.
- Experience with MLOps tools such as MLflow and Github Actions CI/CD pipelines with Azure App Services.
- Exposure to graph analytics, retrieval-augmented generation (RAG) pipelines, or agent-based systems.
**Day-to-Day Responsibilities**
You will architect and implement advanced NLP and machine learning pipelines leveraging diverse text embeddings for semantic search, classification, and clustering tasks. Applying sound statistical modeling and causal inference techniques, you will lead experimentation efforts and build scalable data workflows using PySpark, SQL, and Azure services. Cross-functional collaboration will be a core part of your role as you translate analytical insights into strategic business outcomes.
**Weekly Hours:**
40
**Time Type:**
Regular
**Location:**
IND:KA:Bengaluru / Innovator Building, Itpb, Whitefield Rd - Adm: Intl Tech Park, Innovator Bldg
It is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
AT&T will consider for employment qualified applicants in a manner consistent with the requirements of federal, state and local laws
We expect employees to be honest, trustworthy, and operate with integrity. Discrimination and all unlawful harassment (including sexual harassment) in employment is not tolerated. We encourage success based on our individual merits and abilities without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability, marital status, citizenship status, military status, protected veteran status or employment status
This advertiser has chosen not to accept applicants from your region.
0
Data Scientist /Senior Data Scientist
Bengaluru, Karnataka
Prescience Decision Solutions
Posted today
Job Viewed
Job Description
Job Description
Requirements
Benefits
Requirements
Analysis of both high-level and granular (category and/or product specific) business trends Experience in data processing, data analysis, and automation. Strong proficiency in Excel/Sheets, SQL, and data visualization tools. Experience in Python or R language. Exposure to using Hive or Presto for data processing. Ability to analyze complex datasets and provide actionable insights. Strong communication skills and experience in documenting and presenting data findings.
- Conduct product assortment analysis, identify trends and patterns in category performance, and support new product launches.
- Utilize data and visualization techniques to provide actionable insights for store teams, territory, and district managers.
- Design and test campaign effectiveness, analyze cross-sell and up-sell opportunities, and perform Market Basket Analysis.
- Analyze loyalty and customer data to design direct marketing campaigns and measure their effectiveness.
- Translate complex data insights into understandable and actionable information for non-technical and business teams.
Requirements
- Proven experience as a Data Scientist or similar role.
- Strong knowledge of data analysis, statistics, and machine learning.
- Proficiency in data science tools and programming languages such as Python, SQL,Good in ML as well as Business understanding etc.
- Prior experience in CRM, Loyalty, Customer or Retail/CPG Analytics
- Familiarity with:
- Supervised and unsupervised learning techniques
- Deep learning and reinforcement learning
- Evaluation metrics, feature engineering, model selection and validation, ensemble methods, and explainable AI
- Category/Product Analytics,Store Analytics,Marketing and Promotion Analytics,Customer Analytics
- Expertise in visualization tools such as Power BI, Spot fire, or similar.
- Excellent storytelling skills to explain complex data to non-technical/business teams
- Experience in analytics, preferably within Retail, CPG, or E-commerce domains.
- Excellent communication and collaboration skills with the ability to work effectively in a team environment.
Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive insurance plans.
- Collaborative and supportive work environment.
- Chance to learn and grow with a talented team.
- A positive and fun work environment.
Requirements
Analysis of both high-level and granular (category and/or product specific) business trends Experience in data processing, data analysis, and automation. Strong proficiency in Excel/Sheets, SQL, and data visualization tools. Experience in Python or R language. Exposure to using Hive or Presto for data processing. Ability to analyze complex datasets and provide actionable insights. Strong communication skills and experience in documenting and presenting data findings.
This advertiser has chosen not to accept applicants from your region.
1
Data Scientist /Senior Data Scientist
Bengaluru, Karnataka
Prescience Decision Solutions
Posted today
Job Viewed
Job Description
- Conduct product assortment analysis, identify trends and patterns in category performance, and support new product launches.
- Utilize data and visualization techniques to provide actionable insights for store teams, territory, and district managers.
- Design and test campaign effectiveness, analyze cross-sell and up-sell opportunities, and perform Market Basket Analysis.
- Analyze loyalty and customer data to design direct marketing campaigns and measure their effectiveness.
- Translate complex data insights into understandable and actionable information for non-technical and business teams.
Requirements
- Proven experience as a Data Scientist or similar role.
- Strong knowledge of data analysis, statistics, and machine learning.
- Proficiency in data science tools and programming languages such as Python, SQL,Good in ML as well as Business understanding etc.
- Prior experience in CRM, Loyalty, Customer or Retail/CPG Analytics
- Familiarity with:
- Supervised and unsupervised learning techniques
- Deep learning and reinforcement learning
- Evaluation metrics, feature engineering, model selection and validation, ensemble methods, and explainable AI
- Category/Product Analytics,Store Analytics,Marketing and Promotion Analytics,Customer Analytics
- Expertise in visualization tools such as Power BI, Spot fire, or similar.
- Excellent storytelling skills to explain complex data to non-technical/business teams
- Experience in analytics, preferably within Retail, CPG, or E-commerce domains.
- Excellent communication and collaboration skills with the ability to work effectively in a team environment.
Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive insurance plans.
- Collaborative and supportive work environment.
- Chance to learn and grow with a talented team.
- A positive and fun work environment.
This advertiser has chosen not to accept applicants from your region.
2
Data Scientist
Noida, Uttar Pradesh
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.**
**Job Description:**
+ Analytics professional in payment integrity - stats and modeling data analytics team. Person will be responsible for delivering various fraud analytics statistical projects based on US healthcare data and other consulting assignment. These projects may involve model development, validation, governance, implementation and end to end delivery
+ Lead and work closely with junior/senior statisticians to deliver Fraud, Waste, Abuse (FWA) statistical projects. Team builds models through advanced statistical techniques.
+ Provide support to management in business development, client proposals and in building solid relationships with global analytics teams.
+ Expert in data analytics with significant amount of project delivery skills in one or more of the following areas:
+ Model Building, Model Validation, Fraud detection Analytics, Risk Analytics, Multivariate Analysis
**Primary Responsibilities:**
+ Collaborates across business units with stakeholders, providing thought leadership, and driving day-to-day implementation of our analytics strategy
+ Demonstrable leadership ability, superior problem solving and people management skills.
+ Evaluate statistical methods used to obtain the data to ensure validity, applicability, efficiency and accuracy. Interpret end-user technical requirements by specifying economic decision models, determining appropriate data sources, and performing detailed statistical analysis
+ Create, analyze and maintain explanatory/predictive models of clinical behaviours on healthcare claims data. Work includes all phases of the modelling process: research design, data extraction and cleaning, model building and validation
+ Research on the new fraud & abuse patterns and ideate new assignments/projects basis the secondary/data driven research
+ Lead the advanced statistics domain for the team & develop/refine/improve predictive models using advance SAS, Python, Spark & machine learning techniques and mentor's junior/senior analysts/statisticians to develop their modeling/statistical skills
+ Maintains staff by recruiting, selecting, orienting, and training employees; maintaining a safe, secure, and legal work environment; developing personal growth opportunities and accomplishes staff results by communicating job expectations; planning, monitoring, and appraising job results; coaching, counseling, and disciplining employees; developing, coordinating, and enforcing systems, policies, procedures, and productivity standards
+ Co-ordinate with clinical/Coding SMEs for seeking the inputs to explore data extraction approach and road map the analysis milestones
+ Develop and maintain working relationships with key customer stakeholders
+ 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 regards 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:**
+ Master's degree in math or statistics from top universities (Tier I/II) with solid record of achievement and approximately 1+ years of relevant work experience
+ 2+ years of work experience in the area(s) of statistical analysis, data modelling
+ 1+ years of project management experience
+ Experience in data analytics, predictive & statistical modeling, strategy, project management, team management and business development
+ Experience comprising analytics service delivery, solution design and client management
+ Expert focused on helping team improve modeling predictability, analytics driven strategy development, operational efficiency
+ Knowledge of statistical tools and techniques, especially those relating to data mining & analysis. Should have ability to handle/work on large data sets
+ Displays solid communication, interpersonal, and leadership ability across all levels coupled with effective problem solving, conceptual thinking, quantitative and analytical skills
+ Demonstrated leadership ability and willingness to take initiative
+ Excellent knowledge of SAS, Python/Spark, or any other statistical software to carry out analysis and drive conclusions
+ Solid understanding and implementation experience on predictive modeling algorithms such as time series, neural networks, clustering, decision trees, heuristic models, with familiarity dealing with trade-off between model performance and business needs
+ Solid project management skills, ability to influence cross-functionally in a rapidly evolving business environment while managing multiple/concurrent projects
+ Must be able to communicate ideas effectively and concisely to all levels of Management, business partners, and to other external clients
+ Ability to work independently and with a team
**Preferred Qualifications:**
+ Experience/interest in Python, Tableau & Machine learning
+ Experience/interest in building machine learning systems using big data
+ Experience/interest in data visualization and presentation
+ Knowledge of US/UK/Indian/Middle-East Healthcare system, Specially Fraud management Certifications - Technical - SAS, Python, Spark; Healthcare domain - AHM
_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
**Job Description:**
+ Analytics professional in payment integrity - stats and modeling data analytics team. Person will be responsible for delivering various fraud analytics statistical projects based on US healthcare data and other consulting assignment. These projects may involve model development, validation, governance, implementation and end to end delivery
+ Lead and work closely with junior/senior statisticians to deliver Fraud, Waste, Abuse (FWA) statistical projects. Team builds models through advanced statistical techniques.
+ Provide support to management in business development, client proposals and in building solid relationships with global analytics teams.
+ Expert in data analytics with significant amount of project delivery skills in one or more of the following areas:
+ Model Building, Model Validation, Fraud detection Analytics, Risk Analytics, Multivariate Analysis
**Primary Responsibilities:**
+ Collaborates across business units with stakeholders, providing thought leadership, and driving day-to-day implementation of our analytics strategy
+ Demonstrable leadership ability, superior problem solving and people management skills.
+ Evaluate statistical methods used to obtain the data to ensure validity, applicability, efficiency and accuracy. Interpret end-user technical requirements by specifying economic decision models, determining appropriate data sources, and performing detailed statistical analysis
+ Create, analyze and maintain explanatory/predictive models of clinical behaviours on healthcare claims data. Work includes all phases of the modelling process: research design, data extraction and cleaning, model building and validation
+ Research on the new fraud & abuse patterns and ideate new assignments/projects basis the secondary/data driven research
+ Lead the advanced statistics domain for the team & develop/refine/improve predictive models using advance SAS, Python, Spark & machine learning techniques and mentor's junior/senior analysts/statisticians to develop their modeling/statistical skills
+ Maintains staff by recruiting, selecting, orienting, and training employees; maintaining a safe, secure, and legal work environment; developing personal growth opportunities and accomplishes staff results by communicating job expectations; planning, monitoring, and appraising job results; coaching, counseling, and disciplining employees; developing, coordinating, and enforcing systems, policies, procedures, and productivity standards
+ Co-ordinate with clinical/Coding SMEs for seeking the inputs to explore data extraction approach and road map the analysis milestones
+ Develop and maintain working relationships with key customer stakeholders
+ 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 regards 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:**
+ Master's degree in math or statistics from top universities (Tier I/II) with solid record of achievement and approximately 1+ years of relevant work experience
+ 2+ years of work experience in the area(s) of statistical analysis, data modelling
+ 1+ years of project management experience
+ Experience in data analytics, predictive & statistical modeling, strategy, project management, team management and business development
+ Experience comprising analytics service delivery, solution design and client management
+ Expert focused on helping team improve modeling predictability, analytics driven strategy development, operational efficiency
+ Knowledge of statistical tools and techniques, especially those relating to data mining & analysis. Should have ability to handle/work on large data sets
+ Displays solid communication, interpersonal, and leadership ability across all levels coupled with effective problem solving, conceptual thinking, quantitative and analytical skills
+ Demonstrated leadership ability and willingness to take initiative
+ Excellent knowledge of SAS, Python/Spark, or any other statistical software to carry out analysis and drive conclusions
+ Solid understanding and implementation experience on predictive modeling algorithms such as time series, neural networks, clustering, decision trees, heuristic models, with familiarity dealing with trade-off between model performance and business needs
+ Solid project management skills, ability to influence cross-functionally in a rapidly evolving business environment while managing multiple/concurrent projects
+ Must be able to communicate ideas effectively and concisely to all levels of Management, business partners, and to other external clients
+ Ability to work independently and with a team
**Preferred Qualifications:**
+ Experience/interest in Python, Tableau & Machine learning
+ Experience/interest in building machine learning systems using big data
+ Experience/interest in data visualization and presentation
+ Knowledge of US/UK/Indian/Middle-East Healthcare system, Specially Fraud management Certifications - Technical - SAS, Python, Spark; Healthcare domain - AHM
_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.
3
Data Scientist
Bangalore, Karnataka
Unilever
Posted 1 day ago
Job Viewed
Job Description
JOB TITLE: Data Scientist
JOB FUNCTION: R&D
SCOPE: Global
WORK LOCATION: Unilever Research India - R&D Bangalore, Whitefield ABOUT UNILEVER With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people - we believe that when our people work with purpose, we will create a better business and a better world.
At Unilever, your career will be a unique journey, grounded in our inclusive, collaborative, and flexible working environment. We don't believe in the 'one size fits all' approach and instead we will equip you with the tools you need to shape your own future.
CATEGORY OR FUNCTION INTRODUCTION:
HomeCare is a global business with leading household cleaning and laundry brands such as OMO, Sunlight and Comfort. Our aim is to offer products that are unmissably superior, sustainable and great value.
We are organised to deliver growth and margin across three core categories: Fabric Cleaning, Fabric Enhancer, and Home & Hygiene. We have a portfolio of strong global brands, and a global geographical footprint.
Our strength is in emerging markets where we lead the industry through market development.
Within R&D, our team of world-leading scientists, researchers and professionals creates innovations that drive growth for our business and deliver positive impacts for people, society and our planet.
For more than 100 years, we have been using our differentiated science and technology to create the superior products and experiences our consumers love.
JOB PURPOSE
Unilever is the place where you can bring your purpose to life with the work that you do - creating a better business and a better world. If you are passionate about leveraging data analytics power to drive consumer insights and developing modelling capabilities to empower our scientists for innovating superior products, then this role is just for you!
WHAT WILL YOUR MAIN RESPONSIBILITIES BE
+ Analyse complex data sets using a diverse set of machine learning techniques. Build UI solutions to deploy these solutions for the end users.
+ Develop data analysis and visualization solutions to generate faster insights, thereby helping business team to make informed decision.
+ Execute data modeling projects working together with project SMEs; manage stakeholder expectations.
+ Support and manage activities and expectation on data capture and data quality. Ensure data quality compliance with R&D Data Governance standards
+ Translate business needs into technical specifications, especially for R&D lab and experimental data.
WHAT YOU NEED TO SUCCEED
Experiences & Qualifications
+ Bachelor's or master's degree in STEM subject (Science, Technology, Engineering, or Maths, Computer science, Data Science, Statistics.)
+ Minimum 2-4 years of working experience in the field of Data science. Experience in data processing / handling, insight building and digital solutions.
+ Should have working experience in the field of Power BI and/ Python dash.
+ Having knowledge of experimental data capture systems like LIMS will is plus.
+ Having python/dash/flask application development skills is plus.
Skills
+ Expert knowledge in Excel, Power BI. Experience in large data management.
+ Good to moderate knowledge of scripting and standard modeling practices of developing ML models using Python.
+ Good to moderate knowledge in interface designing with an ability to understand user's requirements and develop a mock-up UI wireframe.
+ Working experience with modelling software such as JMP and DOE are an added advantage.
Leadership
+ Strong interpersonal and communication skills, both written and oral.
+ A good team player with ability to work successfully across multiple business units and formats, effectively collaborate with global teams across time-zone.
+ Energize by delivering fantastic results and be an example to others - with both results and resilience.
+ Responsible for own wellbeing and delivering high standards of work. Must focus on the Consumer and what they need.
Our commitment to Equality, Diversity & Inclusion
Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.
"All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent-please verify before proceeding."
Job Category: Research & Development
Job Type: Full time
Industry:
JOB FUNCTION: R&D
SCOPE: Global
WORK LOCATION: Unilever Research India - R&D Bangalore, Whitefield ABOUT UNILEVER With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people - we believe that when our people work with purpose, we will create a better business and a better world.
At Unilever, your career will be a unique journey, grounded in our inclusive, collaborative, and flexible working environment. We don't believe in the 'one size fits all' approach and instead we will equip you with the tools you need to shape your own future.
CATEGORY OR FUNCTION INTRODUCTION:
HomeCare is a global business with leading household cleaning and laundry brands such as OMO, Sunlight and Comfort. Our aim is to offer products that are unmissably superior, sustainable and great value.
We are organised to deliver growth and margin across three core categories: Fabric Cleaning, Fabric Enhancer, and Home & Hygiene. We have a portfolio of strong global brands, and a global geographical footprint.
Our strength is in emerging markets where we lead the industry through market development.
Within R&D, our team of world-leading scientists, researchers and professionals creates innovations that drive growth for our business and deliver positive impacts for people, society and our planet.
For more than 100 years, we have been using our differentiated science and technology to create the superior products and experiences our consumers love.
JOB PURPOSE
Unilever is the place where you can bring your purpose to life with the work that you do - creating a better business and a better world. If you are passionate about leveraging data analytics power to drive consumer insights and developing modelling capabilities to empower our scientists for innovating superior products, then this role is just for you!
WHAT WILL YOUR MAIN RESPONSIBILITIES BE
+ Analyse complex data sets using a diverse set of machine learning techniques. Build UI solutions to deploy these solutions for the end users.
+ Develop data analysis and visualization solutions to generate faster insights, thereby helping business team to make informed decision.
+ Execute data modeling projects working together with project SMEs; manage stakeholder expectations.
+ Support and manage activities and expectation on data capture and data quality. Ensure data quality compliance with R&D Data Governance standards
+ Translate business needs into technical specifications, especially for R&D lab and experimental data.
WHAT YOU NEED TO SUCCEED
Experiences & Qualifications
+ Bachelor's or master's degree in STEM subject (Science, Technology, Engineering, or Maths, Computer science, Data Science, Statistics.)
+ Minimum 2-4 years of working experience in the field of Data science. Experience in data processing / handling, insight building and digital solutions.
+ Should have working experience in the field of Power BI and/ Python dash.
+ Having knowledge of experimental data capture systems like LIMS will is plus.
+ Having python/dash/flask application development skills is plus.
Skills
+ Expert knowledge in Excel, Power BI. Experience in large data management.
+ Good to moderate knowledge of scripting and standard modeling practices of developing ML models using Python.
+ Good to moderate knowledge in interface designing with an ability to understand user's requirements and develop a mock-up UI wireframe.
+ Working experience with modelling software such as JMP and DOE are an added advantage.
Leadership
+ Strong interpersonal and communication skills, both written and oral.
+ A good team player with ability to work successfully across multiple business units and formats, effectively collaborate with global teams across time-zone.
+ Energize by delivering fantastic results and be an example to others - with both results and resilience.
+ Responsible for own wellbeing and delivering high standards of work. Must focus on the Consumer and what they need.
Our commitment to Equality, Diversity & Inclusion
Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.
"All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent-please verify before proceeding."
Job Category: Research & Development
Job Type: Full time
Industry:
This advertiser has chosen not to accept applicants from your region.
4
Data Scientist
Pune, Maharashtra
Siemens
Posted 2 days ago
Job Viewed
Job Description
**Job Family:** Development
**Req ID:** 473799
Hello Visionary! We empower our people to stay resilient and relevant in a constantly changing world. We're looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future.Does that sound like you? Then it seems like you'd make a great addition to our vibrant team.We are seeking an experienced Data Scientist with a strong foundation in Python, Machine Learning, and Cloud-based Analytics. You will play a key role in building data-driven energy optimization solutions across buildings and campuses. From time-series analysis to predictive maintenance, you'll work on impactful projects that accelerate energy efficiency and sustainability on a global scale. This position is for Pune Location.You'll Make a Difference By: o Collaborating with stakeholders to understand business objectives and develop data science strategies aligned with those objectives. o Design, develop, and implement advanced machine learning and statistical models to solve complex business problems. o Conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis. o Exploring and utilize various data mining and machine learning techniques to extract valuable insights and patterns from large datasets. o Developing predictive/prescriptive models, algorithms, and prototypes to support business. o Having working knowledge of handling IOT and IIOT data and handling traditional use cases like anomaly detection for a multi-sensor system. o Having hands-on experience in Forecasting using traditional ML and Deep Networks. o Performing statistical analysis, hypothesis testing, and A/B testing to evaluate the effectiveness of models and algorithms. o Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and data visualizations. o Understanding CI/CD processes in product deployment and used it in delivery. o Understanding of the Dockerization, REST APIs. o Working knowledge on software development processes. o Stay up to date with the latest trends and advancements in data science, machine learning, and AIYou'll Win Us Over If You Have: o Advanced degree (Master's or Ph.D.) in a quantitative field such as Data Science, Computer Science, or Statistics, or Bachelors degree (BE. BTech, BS) with demonstrated equivalent practical experience. o 5+ years of experience in data science and/or data analysis with a proven track record of developing ML models and algorithms. o A masters or Ph.D. degree in Data Science, Computer Science, Statistics, or a related field. o Strong programming skills in languages such as Python. o Exposure to the industrial engineering domain is preferred. o Knowledge of big data technologies such as Hadoop, Spark, or Hive is a plus. o Proficient in the use of data science tools. o A collaborative, team-oriented attitude with a proactive mindset.Join us and be yourself! We value your unique identity and perspective, recognizing that our strength comes from the diverse backgrounds, experiences, and thoughts of our team members. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. We also support you in your personal and professional journey by providing resources to help you thrive. Come bring your authentic self and create a better tomorrow with us. Make your mark in our exciting world at Siemens.This role is based in Pune and is an Individual contributor role. You might be required to visit other locations within India and outside. In return, you'll get the chance to work with teams impacting - and the shape of things to come. We're Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. Find out more about Siemens careers at:
**Req ID:** 473799
Hello Visionary! We empower our people to stay resilient and relevant in a constantly changing world. We're looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future.Does that sound like you? Then it seems like you'd make a great addition to our vibrant team.We are seeking an experienced Data Scientist with a strong foundation in Python, Machine Learning, and Cloud-based Analytics. You will play a key role in building data-driven energy optimization solutions across buildings and campuses. From time-series analysis to predictive maintenance, you'll work on impactful projects that accelerate energy efficiency and sustainability on a global scale. This position is for Pune Location.You'll Make a Difference By: o Collaborating with stakeholders to understand business objectives and develop data science strategies aligned with those objectives. o Design, develop, and implement advanced machine learning and statistical models to solve complex business problems. o Conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis. o Exploring and utilize various data mining and machine learning techniques to extract valuable insights and patterns from large datasets. o Developing predictive/prescriptive models, algorithms, and prototypes to support business. o Having working knowledge of handling IOT and IIOT data and handling traditional use cases like anomaly detection for a multi-sensor system. o Having hands-on experience in Forecasting using traditional ML and Deep Networks. o Performing statistical analysis, hypothesis testing, and A/B testing to evaluate the effectiveness of models and algorithms. o Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and data visualizations. o Understanding CI/CD processes in product deployment and used it in delivery. o Understanding of the Dockerization, REST APIs. o Working knowledge on software development processes. o Stay up to date with the latest trends and advancements in data science, machine learning, and AIYou'll Win Us Over If You Have: o Advanced degree (Master's or Ph.D.) in a quantitative field such as Data Science, Computer Science, or Statistics, or Bachelors degree (BE. BTech, BS) with demonstrated equivalent practical experience. o 5+ years of experience in data science and/or data analysis with a proven track record of developing ML models and algorithms. o A masters or Ph.D. degree in Data Science, Computer Science, Statistics, or a related field. o Strong programming skills in languages such as Python. o Exposure to the industrial engineering domain is preferred. o Knowledge of big data technologies such as Hadoop, Spark, or Hive is a plus. o Proficient in the use of data science tools. o A collaborative, team-oriented attitude with a proactive mindset.Join us and be yourself! We value your unique identity and perspective, recognizing that our strength comes from the diverse backgrounds, experiences, and thoughts of our team members. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. We also support you in your personal and professional journey by providing resources to help you thrive. Come bring your authentic self and create a better tomorrow with us. Make your mark in our exciting world at Siemens.This role is based in Pune and is an Individual contributor role. You might be required to visit other locations within India and outside. In return, you'll get the chance to work with teams impacting - and the shape of things to come. We're Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. Find out more about Siemens careers at:
This advertiser has chosen not to accept applicants from your region.
5
Data Scientist
Chennai, Tamil Nadu
Siemens
Posted 3 days ago
Job Viewed
Job Description
**Job Family:** Development
**Req ID:** 470322
Hello Visionary! We empower our people to stay resilient and relevant in a constantly changing world. We're looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future.Does that sound like you? Then it seems like you'd make a great addition to our vibrant team.We are seeking an experienced Data Scientist with a strong foundation in Python, Machine Learning, and Cloud-based Analytics. You will play a key role in building data-driven energy optimization solutions across buildings and campuses. From time-series analysis to predictive maintenance, you'll work on impactful projects that accelerate energy efficiency and sustainability on a global scale. This position is for Chennai Location.You'll Make a Difference By: o Developing cloud-based data science solutions for energy monitoring, forecasting, and optimization. o Designing and implementing ML algorithms for anomaly detection, forecasting, and predictive simulations. o Collaborating with global software engineering teams to integrate AI/ML features into scalable cloud offerings. o Translating complex data into actionable insights through dashboards and business-friendly reports. o Investigating advanced statistical, AI, and machine learning models to solve real-world optimization problems. o Working on large-scale time-series data from IoT sensors and building automation systems. o Ensuring clean, structured, and high-quality data using modern data engineering best practices o Ability to effectively communicate in English, both written and spoken.You'll Win Us Over If You Have: o B.E. / M.Sc. / MCA / B. Tech in Computer Science / Applied Mathematics or related fields with good academic record. o 5 to 8 years of professional software development experience, with a minimum of 3 years in the analytics field (like data science, business intelligence.), using professional Python 3.x & libraries o Proficiency in Python 3.x and libraries like pandas, NumPy, scikit-learn, PyTorch/TensorFlow, statsmodels. o Deep hands-on experience in machine learning, data mining, and algorithm development. o Solid understanding of time-series modeling, forecasting, and anomaly detection. o Working knowledge of cloud platforms (preferably AWS) and data lake architectures. o Strong data wrangling, cleaning, and schema design skills . o Ability to effectively communicate in English, both written and spoken. o A collaborative, team-oriented attitude with a proactive mindset.Bonus Points For: - Experience with Scala, graph analytics, or handling IoT/sensor data.- Hands-on exposure to Angular, JavaScript, or other frontend technologies.- Experience working in Agile software environments (scrum, sprint planning, retrospectives).- Familiarity with Docker, Kubernetes, and GitLab CI/CD.- Knowledge of clean code, TDD, and software integration processes.What You'll Gain:- Collaborate with global product teams with 20+ years of technical excellence.- Work in a disciplined SAFe Agile environment that values both delivery and work-life balance.- Make meaningful contributions to product success in a transparent and empowering culture.- Build scalable platforms that support sophisticated modular applications.Join us and be yourself! We value your unique identity and perspective, recognizing that our strength comes from the diverse backgrounds, experiences, and thoughts of our team members. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. We also support you in your personal and professional journey by providing resources to help you thrive. Come bring your authentic self and create a better tomorrow with us. Make your mark in our exciting world at Siemens.This role is based in Chennai and is an Individual contributor role. You might be required to visit other locations within India and outside. In return, you'll get the chance to work with teams impacting - and the shape of things to come. We're Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. Find out more about Siemens careers at:
**Req ID:** 470322
Hello Visionary! We empower our people to stay resilient and relevant in a constantly changing world. We're looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future.Does that sound like you? Then it seems like you'd make a great addition to our vibrant team.We are seeking an experienced Data Scientist with a strong foundation in Python, Machine Learning, and Cloud-based Analytics. You will play a key role in building data-driven energy optimization solutions across buildings and campuses. From time-series analysis to predictive maintenance, you'll work on impactful projects that accelerate energy efficiency and sustainability on a global scale. This position is for Chennai Location.You'll Make a Difference By: o Developing cloud-based data science solutions for energy monitoring, forecasting, and optimization. o Designing and implementing ML algorithms for anomaly detection, forecasting, and predictive simulations. o Collaborating with global software engineering teams to integrate AI/ML features into scalable cloud offerings. o Translating complex data into actionable insights through dashboards and business-friendly reports. o Investigating advanced statistical, AI, and machine learning models to solve real-world optimization problems. o Working on large-scale time-series data from IoT sensors and building automation systems. o Ensuring clean, structured, and high-quality data using modern data engineering best practices o Ability to effectively communicate in English, both written and spoken.You'll Win Us Over If You Have: o B.E. / M.Sc. / MCA / B. Tech in Computer Science / Applied Mathematics or related fields with good academic record. o 5 to 8 years of professional software development experience, with a minimum of 3 years in the analytics field (like data science, business intelligence.), using professional Python 3.x & libraries o Proficiency in Python 3.x and libraries like pandas, NumPy, scikit-learn, PyTorch/TensorFlow, statsmodels. o Deep hands-on experience in machine learning, data mining, and algorithm development. o Solid understanding of time-series modeling, forecasting, and anomaly detection. o Working knowledge of cloud platforms (preferably AWS) and data lake architectures. o Strong data wrangling, cleaning, and schema design skills . o Ability to effectively communicate in English, both written and spoken. o A collaborative, team-oriented attitude with a proactive mindset.Bonus Points For: - Experience with Scala, graph analytics, or handling IoT/sensor data.- Hands-on exposure to Angular, JavaScript, or other frontend technologies.- Experience working in Agile software environments (scrum, sprint planning, retrospectives).- Familiarity with Docker, Kubernetes, and GitLab CI/CD.- Knowledge of clean code, TDD, and software integration processes.What You'll Gain:- Collaborate with global product teams with 20+ years of technical excellence.- Work in a disciplined SAFe Agile environment that values both delivery and work-life balance.- Make meaningful contributions to product success in a transparent and empowering culture.- Build scalable platforms that support sophisticated modular applications.Join us and be yourself! We value your unique identity and perspective, recognizing that our strength comes from the diverse backgrounds, experiences, and thoughts of our team members. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. We also support you in your personal and professional journey by providing resources to help you thrive. Come bring your authentic self and create a better tomorrow with us. Make your mark in our exciting world at Siemens.This role is based in Chennai and is an Individual contributor role. You might be required to visit other locations within India and outside. In return, you'll get the chance to work with teams impacting - and the shape of things to come. We're Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. Find out more about Siemens careers at:
This advertiser has chosen not to accept applicants from your region.
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6
Data Scientist
Bengaluru, Karnataka
Wabtec Corporation
Posted 4 days ago
Job Viewed
Job Description
It's not just about your career or job title. It's about who you are and the impact you will make on the world. Because whether it's for each other or our customers, we put People First. When our people come together, we Expand the Possible and continuously look for ways to improve what we create and how we do it. If you are constantly striving to grow, you're in good company. We are revolutionizing the way the world moves for future generations, and we want someone who is ready to move with us.
It's not just about your career or job title. It's about who you are and the impact you will make on the world. Because whether it's for each other or our customers, we put People First. When our people come together, we Expand the Possible and continuously look for ways to improve what we create and how we do it. If you are constantly striving to grow, you're in good company. We are revolutionizing the way the world moves for future generations, and we want someone who is ready to move with us.
**Who are we?**
Wabtec Corporation is a leading global provider of equipment, systems, digital solutions, and value-added services for freight and transit rail as well as the mining, marine, and industrial markets. Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation, and Faiveley Transport, the company has grown to become One Wabtec, with unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems.
Wabtec is focused on performance that drives progress and unlocks our customers' potential by delivering innovative and lasting transportation solutions that move and improve the world. We are lifelong learners obsessed with making things better to drive exceptional results. Wabtec has approximately 27K employees in facilities throughout the world. Visit our website ( to learn more!
**Company Description:** Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation and Faiveley Transport, the company has unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems. Wabtec is focused on performance that drives progress, creating transportation solutions that move and improve the world. Wabtec has approximately 27,000 employees in facilities throughout the world. Visit the company's website at: Overview:** We are seeking a talented Computer Vision Engineer with experience in image processing, deep learning, and software development to join our KinetiX team. The successful candidate will play a crucial role in translating existing code base to a state-of-the-art system while contributing to the development of advanced computer vision algorithms for laser and camera-based accurate detection and measurement of rail components at high speeds.
**Responsibilities:**
+ Develop machine vision system with Python/C++.
+ Develop state-of-the-art computer vision algorithms, both traditional image processing and deep learning for accurate measurement and detection of rail components using laser and camera-based systems.
+ Optimize algorithms for real-time performance and high-speed processing.
+ Collaborate with cross-functional teams including hardware engineers, software developers, and domain experts to integrate computer vision solutions into our products.
+ Conduct research to stay updated on the latest advancements in computer vision, deep learning, and image processing.
+ Implement advanced AI annotation and active learning pipelines
**Requirements:**
+ Master's or Bachelor's degree in Computer Science or related field.
+ 2+ years of work experience with experience in image processing, computer vision, and deep learning.
+ Proficiency in MATLAB and strong skills in Python and/or C++ programming languages.
+ Experience with software development tools and libraries such as OpenCV, TensorFlow, PyTorch, etc.
+ Good understanding of deep learning techniques and algorithms.
+ Experience with point cloud is good to have
+ Knowledge on MLOps and DevOps would be good to have.
+ Knowledge on any cloud platform - GCP/Azure/AWS would be preferred.
+ Excellent problem-solving skills and ability to work independently as well as in a team environment.
+ Strong communication skills with the ability to articulate technical concepts effectively.
**Personal Attributes:**
+ Strong oral and written communication skills.
+ Strong interpersonal and influencing skills.
+ Effective team building and problem-solving abilities.
+ Demonstrate the ability to quickly understand and learn new concepts, in analytics and other supporting technologies.
**Our Commitment to Embrace Diversity:**
Wabtec is a global company that invests not just in our products, but also our people by embracing diversity and inclusion. We care about our relationships with our employees and take pride in celebrating the variety of experiences, expertise, and backgrounds that bring us together. At Wabtec, we aspire to create a place where we all belong and where diversity is welcomed and appreciated.
To fulfill that commitment, we rely on a culture of leadership, diversity, and inclusion. We aim to employ the world's brightest minds to help us create a limitless source of ideas and opportunities. We have created a space where everyone is given the opportunity to contribute based on their individual experiences and perspectives and recognize that these differences and diverse perspectives make us better.
We believe in hiring talented people of varied backgrounds, experiences, and styles. People like you! Wabtec Corporation is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or protected Veteran status. If you have a disability or special need that requires accommodation, please let us know.
**Who are we?**
Wabtec Corporation is a leading global provider of equipment, systems, digital solutions, and value-added services for freight and transit rail as well as the mining, marine, and industrial markets. Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation, and Faiveley Transport, the company has grown to become One Wabtec, with unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems.
Wabtec is focused on performance that drives progress and unlocks our customers' potential by delivering innovative and lasting transportation solutions that move and improve the world. We are lifelong learners obsessed with making things better to drive exceptional results. Wabtec has approximately 27K employees in facilities throughout the world. Visit our website to learn more! Commitment to Embrace Diversity:**
Wabtec is a global company that invests not just in our products, but also our people by embracing diversity and inclusion. We care about our relationships with our employees and take pride in celebrating the variety of experiences, expertise, and backgrounds that bring us together. At Wabtec, we aspire to create a place where we all belong and where diversity is welcomed and appreciated.
To fulfill that commitment, we rely on a culture of leadership, diversity, and inclusion. We aim to employ the world's brightest minds to help us create a limitless source of ideas and opportunities. We have created a space where everyone is given the opportunity to contribute based on their individual experiences and perspectives and recognize that these differences and diverse perspectives make us better.
We believe in hiring talented people of varied backgrounds, experiences, and styles. People like you! Wabtec Corporation is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or protected Veteran status. If you have a disability or special need that requires accommodation, please let us know.
It's not just about your career or job title. It's about who you are and the impact you will make on the world. Because whether it's for each other or our customers, we put People First. When our people come together, we Expand the Possible and continuously look for ways to improve what we create and how we do it. If you are constantly striving to grow, you're in good company. We are revolutionizing the way the world moves for future generations, and we want someone who is ready to move with us.
**Who are we?**
Wabtec Corporation is a leading global provider of equipment, systems, digital solutions, and value-added services for freight and transit rail as well as the mining, marine, and industrial markets. Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation, and Faiveley Transport, the company has grown to become One Wabtec, with unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems.
Wabtec is focused on performance that drives progress and unlocks our customers' potential by delivering innovative and lasting transportation solutions that move and improve the world. We are lifelong learners obsessed with making things better to drive exceptional results. Wabtec has approximately 27K employees in facilities throughout the world. Visit our website ( to learn more!
**Company Description:** Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation and Faiveley Transport, the company has unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems. Wabtec is focused on performance that drives progress, creating transportation solutions that move and improve the world. Wabtec has approximately 27,000 employees in facilities throughout the world. Visit the company's website at: Overview:** We are seeking a talented Computer Vision Engineer with experience in image processing, deep learning, and software development to join our KinetiX team. The successful candidate will play a crucial role in translating existing code base to a state-of-the-art system while contributing to the development of advanced computer vision algorithms for laser and camera-based accurate detection and measurement of rail components at high speeds.
**Responsibilities:**
+ Develop machine vision system with Python/C++.
+ Develop state-of-the-art computer vision algorithms, both traditional image processing and deep learning for accurate measurement and detection of rail components using laser and camera-based systems.
+ Optimize algorithms for real-time performance and high-speed processing.
+ Collaborate with cross-functional teams including hardware engineers, software developers, and domain experts to integrate computer vision solutions into our products.
+ Conduct research to stay updated on the latest advancements in computer vision, deep learning, and image processing.
+ Implement advanced AI annotation and active learning pipelines
**Requirements:**
+ Master's or Bachelor's degree in Computer Science or related field.
+ 2+ years of work experience with experience in image processing, computer vision, and deep learning.
+ Proficiency in MATLAB and strong skills in Python and/or C++ programming languages.
+ Experience with software development tools and libraries such as OpenCV, TensorFlow, PyTorch, etc.
+ Good understanding of deep learning techniques and algorithms.
+ Experience with point cloud is good to have
+ Knowledge on MLOps and DevOps would be good to have.
+ Knowledge on any cloud platform - GCP/Azure/AWS would be preferred.
+ Excellent problem-solving skills and ability to work independently as well as in a team environment.
+ Strong communication skills with the ability to articulate technical concepts effectively.
**Personal Attributes:**
+ Strong oral and written communication skills.
+ Strong interpersonal and influencing skills.
+ Effective team building and problem-solving abilities.
+ Demonstrate the ability to quickly understand and learn new concepts, in analytics and other supporting technologies.
**Our Commitment to Embrace Diversity:**
Wabtec is a global company that invests not just in our products, but also our people by embracing diversity and inclusion. We care about our relationships with our employees and take pride in celebrating the variety of experiences, expertise, and backgrounds that bring us together. At Wabtec, we aspire to create a place where we all belong and where diversity is welcomed and appreciated.
To fulfill that commitment, we rely on a culture of leadership, diversity, and inclusion. We aim to employ the world's brightest minds to help us create a limitless source of ideas and opportunities. We have created a space where everyone is given the opportunity to contribute based on their individual experiences and perspectives and recognize that these differences and diverse perspectives make us better.
We believe in hiring talented people of varied backgrounds, experiences, and styles. People like you! Wabtec Corporation is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or protected Veteran status. If you have a disability or special need that requires accommodation, please let us know.
**Who are we?**
Wabtec Corporation is a leading global provider of equipment, systems, digital solutions, and value-added services for freight and transit rail as well as the mining, marine, and industrial markets. Drawing on nearly four centuries of collective experience across Wabtec, GE Transportation, and Faiveley Transport, the company has grown to become One Wabtec, with unmatched digital expertise, technological innovation, and world-class manufacturing and services, enabling the digital-rail-and-transit ecosystems.
Wabtec is focused on performance that drives progress and unlocks our customers' potential by delivering innovative and lasting transportation solutions that move and improve the world. We are lifelong learners obsessed with making things better to drive exceptional results. Wabtec has approximately 27K employees in facilities throughout the world. Visit our website to learn more! Commitment to Embrace Diversity:**
Wabtec is a global company that invests not just in our products, but also our people by embracing diversity and inclusion. We care about our relationships with our employees and take pride in celebrating the variety of experiences, expertise, and backgrounds that bring us together. At Wabtec, we aspire to create a place where we all belong and where diversity is welcomed and appreciated.
To fulfill that commitment, we rely on a culture of leadership, diversity, and inclusion. We aim to employ the world's brightest minds to help us create a limitless source of ideas and opportunities. We have created a space where everyone is given the opportunity to contribute based on their individual experiences and perspectives and recognize that these differences and diverse perspectives make us better.
We believe in hiring talented people of varied backgrounds, experiences, and styles. People like you! Wabtec Corporation is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, or protected Veteran status. If you have a disability or special need that requires accommodation, please let us know.
This advertiser has chosen not to accept applicants from your region.
7
Data Scientist
Chennai, Tamil Nadu
UPS
Posted 4 days ago
Job Viewed
Job Description
**Before you apply to a job, select your language preference from the options available at the top right of this page.**
Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
**Job Description:**
**DATA SCIENTIST**
**JOB SUMMARY**
This **Data Scientist** creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects.
**RESPONSIBILITIES**
+ Defines key data sources from UPS and external sources to deliver models.
+ Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems.
+ For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts.
+ Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs.
+ Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives.
+ Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling.
+ Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders.
+ Presents operationalized analytic findings and provides recommendations.
+ Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction.
+ Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions.
**QUALIFICATIONS**
+ Expertise in R, SQL, Python and/or any other high-level languages.
+ Exploratory data analysis (EDA), data engineering and development of advanced analytics models.
+ Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras.
+ Experience applying models from small to medium scaled problems.
+ Strong analytical skills and attention to detail.
+ Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach.
+ Expertise with statistical techniques, machine learning, and/or operations research and their application in business.
+ Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production.
+ Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows.
+ Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms.
+ Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains.
+ Familiarity with Java or C++ is a plus.
+ Solid oral and written communication skills, especially around analytical concepts and methods.
+ Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences.
+ Master's Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
**Last Day Posted - 2/25/2024**
**Employee Type:**
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow-people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
**Job Description:**
**DATA SCIENTIST**
**JOB SUMMARY**
This **Data Scientist** creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects.
**RESPONSIBILITIES**
+ Defines key data sources from UPS and external sources to deliver models.
+ Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems.
+ For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts.
+ Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs.
+ Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives.
+ Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling.
+ Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders.
+ Presents operationalized analytic findings and provides recommendations.
+ Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction.
+ Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions.
**QUALIFICATIONS**
+ Expertise in R, SQL, Python and/or any other high-level languages.
+ Exploratory data analysis (EDA), data engineering and development of advanced analytics models.
+ Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras.
+ Experience applying models from small to medium scaled problems.
+ Strong analytical skills and attention to detail.
+ Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach.
+ Expertise with statistical techniques, machine learning, and/or operations research and their application in business.
+ Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production.
+ Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows.
+ Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms.
+ Core AI / Machine Learning knowledge and application in supervised and unsupervised learning domains.
+ Familiarity with Java or C++ is a plus.
+ Solid oral and written communication skills, especially around analytical concepts and methods.
+ Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences.
+ Master's Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.
**Last Day Posted - 2/25/2024**
**Employee Type:**
Permanent
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