543 Lead Data Scientist jobs in Hyderabad
Lead Data Scientist
Posted 16 days ago
Job Viewed
Job Description
**Primary Responsibilities:**
+ Drive client value by:
+ Creating innovative solutions driven by exploratory data analysis from diverse datasets
+ Responsible for developing/delivering end-to-end Machine Learning projects/solutions that have a high degree of value, ambiguity, scale and complexity
+ Ability to coach/guide follow data scientists and accountable for delivering advanced analytics products
+ Using an analytical approach to design, develop, and implement data enrichments, predictive models, and advanced algorithms that lead to expanded value extraction from data
+ Leading efforts for applied use of machine learning to drive process optimization and transformation
+ Applying knowledge of data modeling, statistics, machine learning, programming, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to more actionable insights
+ Working with analytics and statistical software and products, such as SQL, R, Python, Hadoop and others to perform analysis and interpret data
+ Creating artifacts like STM, HLD, LLD for hardening prototypes into production (prototype to hardening)
+ Communicate the performance of the machine learning algorithms across an interdisciplinary team
+ Create impact at scale by:
+ Developing and managing a comprehensive catalog of scalable data services that expand the value of analytical offerings
+ Designing and promoting best practices related to data enrichment, advanced modeling, and algorithm creation in support of analytically driven insight
+ Collaborating with business intelligence architects and domain analysts to maximize the effectiveness of business intelligence tools, dashboards, and other dynamic reporting capabilities
+ Leading efforts to build sophisticated data enrichment processes that server as the single source of truth to expanded insights on base data
+ Ensuring complex analytics adhere to statistical best practices
+ 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:**
+ Bachelor's degree (preferably in information technology, engineering, math, computer science, analytics, engineering or other related field)
+ 8+ years of combined experience in data science, data enrichment, and advanced modeling
+ 8+ years of experience creating models/solutions using Python, Spark-SQL, Scala or other similar coding language
+ 8+ years of experience manipulating large data sets through statistical software (ex. R, SAS) or other methods
+ 5+ years of experience managing complex data projects and programs
+ 5+ years of experience creating healthcare analytics
+ Hands on experience in Microsoft Azure, Databricks, Mlflow and model deployment frameworks
+ Hands-on experience in implementing and training machine learning algorithms and statistical analyses, including for example non-parametric tests,
+ linear mixed models, modern supervised and unsupervised machine learning algorithms such as SVM, random forest, PCA, t-SNE, clustering, deep learning, and LLMs
+ Highly proficient with hands-on experience in Python coding, Spark SQL and any other programming language along with corresponding language packages
+ Proven excellent communication and presentation skills
+ Ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms (Azure, Databricks, AzureML)
_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 #NJP
Lead Data Scientist
Posted 16 days ago
Job Viewed
Job Description
About the Company
We are investing massively in developing next-generation AI tools for multimodal datasets and a wide range of applications. We are building large scale, enterprise grade solutions and serving these innovations to our clients and WPP agency partners.
About the Role
As a Lead Data Scientist, you will play a pivotal role in shaping the technical direction and delivery of our cutting-edge AI solutions. You will work alongside world-class talent, leading key initiatives in an environment that not only fosters innovation but also personal and professional growth.You will be at the forefront of AI, leveraging multimodal datasets to build groundbreaking solutions over a multi-year roadmap, mentoring junior and mid-level data scientists, and driving best practices.Your contributions will directly shape cutting-edge AI products and services that make a tangible impact for FTSE 100 clients.
Responsibilities
- Lead the design, development, and deployment of state-of-the-art AI/ML solutions, leveraging advanced algorithms and libraries to solve complex, high impact problems for our clients.
- Provide technical leadership and mentorship to a team of data scientists, fostering a culture of continuous learning, innovation, and excellence.
- Collaborate strategically with Satalia and WPP Product teams to define, prioritize, and deliver advanced AI features for marketing applications, ensuring alignment with business objectives.
- Drive the analysis of large multi-modal datasets, identifying key insights and features that inform the development of robust downstream AI models.
- Architect and implement integrated AI solutions by combining fine-tuned LLMs, machine learning models, and custom algorithms to address complex marketing challenges at scale.
- Act as a subject matter expert, staying abreast of the latest trends in AI research and actively integrating them into our products and services, guiding the team on emerging technologies.
- Effectively communicate complex technical challenges, solutions, and strategic recommendations to both technical and non-technical stakeholders, including senior leadership and clients.
- Champion best practices in MLOps, model governance, data quality, and responsible AI, ensuring the scalability, reliability, and ethical deployment of our solutions.
- Contribute to the strategic roadmap for data science initiatives, identifying opportunities for innovation and growth.
Qualifications
- Overall 18 plus years progressive experience in machine learning and data science, with a strong knowledge of algorithms, principles, and their practical application.
- Demonstrated experience leading technical projects or initiatives, with a proven track record of building, deploying, and maintaining machine learning models into production environments at scale.
- Hands-on experience with both structured and unstructured data, with a focus on multi-modal datasets.
- Deep expertise with deep learning models for either computer vision or natural language processing, and ideally experience combining both.
- Proficiency with the Python programming language, including experience with MLOps frameworks and cloud platforms (e.g., AWS, GCP, Azure).
- Knowledge of Git and collaboration principles, with experience in leading code reviews and promoting robust development practices.
- Exceptional communication, presentation, and interpersonal skills, with the ability to influence and convey complex technical concepts to diverse audiences.
- Proven ability to mentor and guide junior team members.
- Strong problem-solving skills with an ability to tackle ambiguous and complex challenges.
Pay range and compensation package
We are hiring across all experience levels in data science, from entry-level to seasoned professionals, and offer competitive salaries commensurate with experience and skills.
Equal Opportunity Statement
It is a great time to be joining as the industry transforms itself in what we believe is a generational moment for technology and AI.
Lead Data Scientist
Posted 17 days ago
Job Viewed
Job Description
Role: Data Science (Senior/Lead)
Location: Hyderabad (Work from Office)
about alliantgroup
alliantgroup is a professional services firm that provides tax consulting and compliance services to businesses in the United States. The company was founded in 2002 and is headquartered in Houston, Texas. alliantgroup services are focused on helping businesses claim tax credits and incentives that they are entitled to under various federal and state programs. These credits and incentives are designed to encourage businesses to invest in certain types of activities, such as research and development, energy efficiency, and hiring employees from certain disadvantaged groups. alliantgroup services include helping businesses identify and claim these credits and incentives, as well as providing guidance on compliance with the relevant regulations.
alliantgroup is headquartered in Houston, Texas with additional offices located in Austin, Boston, Chicago, Indianapolis, New York, Irvine, Sacramento, Washington, D.C.; and Bristol and London in the U.K.
More about our culture and why we love alliantgroup
alliantgroup India Talent Pvt. Ltd:
alliantgroup started its operations in India in the year 2020 with a world-class office in Hyderabad to provide Tax, Advisory, Audit and Accounting services. alliantgroup India Talent comprises a team of skilled professionals who address the most pressing needs of U.S CPA Firms. We work with the best talent and ensure our clients get top quality services they need. We are currently a family of 1000+ employees.
Our people and culture set us apart as a firm, and our team includes professionals from a diverse array of fields, including business, engineering, software development, law, and accounting.
What you’ll be doing:
We are seeking a highly skilled and motivated Data Scientist to join our team. As a Senior/Lead Data Scientist, your primary responsibility will be to lead design and develop predictive models to derive actionable insights from complex data sets. You will work closely with cross-functional teams to understand business requirements and leverage your expertise in data analysis and modeling techniques to provide valuable solutions.
Additional requirements for this role are dependability and willingness to go above and beyond the call of duty in assisting end-users and following technical issues through to resolution.
What will be your responsibilities:
- Collaborate with domain experts, stakeholders, and data engineers to identify and gather relevant data for analysis.
- Build strategy for Predictive Analytics.
- Data Collection and Integrations.
- Understanding of Natural Language Processing (NLP) techniques.
- Develop and apply advanced analytics for organizational strategy like Prescriptive Analytics/Data optimization and simulation.
- Develop and implement advanced statistical models and algorithms to analyze large and complex datasets.
- Work on Data exploration and Visualization.
- Extensive experience in Data communication and storytelling
- Big Data Analytics, Processing and analyzing large volumes of structured and unstructured data to uncover patterns and trends.
- Perform feature engineering, variable selection, and model validation to improve the accuracy and effectiveness of predictive models.
- Collaborate with stakeholders to understand business requirementsand produce developed models for deployment in real-world systems.
- Stay up to date with the latest advancements in data science, machine learning, computer vision, NLP, and MLOps techniques.
- Coordination with ISMS core team to support ISMS activities and implantation strategies at the company.
What are we looking for:
- Bachelor’s degree in computer science, Statistics, Mathematics, or a related field. A Master's degree is preferred.
- 8+ years of experience and leading small DS teams.
- Proven experience as a Data Scientist or similar role, preferably in a business or industry setting.
- Strong analytical thinking and a passion for data-driven decision-making.
- Experience working on tools like Python, Power BI and Tableau.
- Ability to work independently and collaboratively in a fast-paced and dynamic environment.
What we offer:
With us, there are always opportunities to break new ground. We empower you to take the organization to the next level with the versatile experience that you bring in. We trust you with responsibility early on and support you in all ways to make this organization as trusted partner to the customers and a great place to work for the employees.
Join us and bring your curiosity to life!
Lead Data Scientist
Posted 2 days ago
Job Viewed
Job Description
About the Company
We are investing massively in developing next-generation AI tools for multimodal datasets and a wide range of applications. We are building large scale, enterprise grade solutions and serving these innovations to our clients and WPP agency partners.
About the Role
As a Lead Data Scientist, you will play a pivotal role in shaping the technical direction and delivery of our cutting-edge AI solutions. You will work alongside world-class talent, leading key initiatives in an environment that not only fosters innovation but also personal and professional growth.You will be at the forefront of AI, leveraging multimodal datasets to build groundbreaking solutions over a multi-year roadmap, mentoring junior and mid-level data scientists, and driving best practices.Your contributions will directly shape cutting-edge AI products and services that make a tangible impact for FTSE 100 clients.
Responsibilities
- Lead the design, development, and deployment of state-of-the-art AI/ML solutions, leveraging advanced algorithms and libraries to solve complex, high impact problems for our clients.
- Provide technical leadership and mentorship to a team of data scientists, fostering a culture of continuous learning, innovation, and excellence.
- Collaborate strategically with Satalia and WPP Product teams to define, prioritize, and deliver advanced AI features for marketing applications, ensuring alignment with business objectives.
- Drive the analysis of large multi-modal datasets, identifying key insights and features that inform the development of robust downstream AI models.
- Architect and implement integrated AI solutions by combining fine-tuned LLMs, machine learning models, and custom algorithms to address complex marketing challenges at scale.
- Act as a subject matter expert, staying abreast of the latest trends in AI research and actively integrating them into our products and services, guiding the team on emerging technologies.
- Effectively communicate complex technical challenges, solutions, and strategic recommendations to both technical and non-technical stakeholders, including senior leadership and clients.
- Champion best practices in MLOps, model governance, data quality, and responsible AI, ensuring the scalability, reliability, and ethical deployment of our solutions.
- Contribute to the strategic roadmap for data science initiatives, identifying opportunities for innovation and growth.
Qualifications
- Overall 18 plus years progressive experience in machine learning and data science, with a strong knowledge of algorithms, principles, and their practical application.
- Demonstrated experience leading technical projects or initiatives, with a proven track record of building, deploying, and maintaining machine learning models into production environments at scale.
- Hands-on experience with both structured and unstructured data, with a focus on multi-modal datasets.
- Deep expertise with deep learning models for either computer vision or natural language processing, and ideally experience combining both.
- Proficiency with the Python programming language, including experience with MLOps frameworks and cloud platforms (e.g., AWS, GCP, Azure).
- Knowledge of Git and collaboration principles, with experience in leading code reviews and promoting robust development practices.
- Exceptional communication, presentation, and interpersonal skills, with the ability to influence and convey complex technical concepts to diverse audiences.
- Proven ability to mentor and guide junior team members.
- Strong problem-solving skills with an ability to tackle ambiguous and complex challenges.
Pay range and compensation package
We are hiring across all experience levels in data science, from entry-level to seasoned professionals, and offer competitive salaries commensurate with experience and skills.
Equal Opportunity Statement
It is a great time to be joining as the industry transforms itself in what we believe is a generational moment for technology and AI.
Lead Data Scientist
Posted 3 days ago
Job Viewed
Job Description
Role: Data Science (Senior/Lead)
Location: Hyderabad (Work from Office)
about alliantgroup
alliantgroup is a professional services firm that provides tax consulting and compliance services to businesses in the United States. The company was founded in 2002 and is headquartered in Houston, Texas. alliantgroup services are focused on helping businesses claim tax credits and incentives that they are entitled to under various federal and state programs. These credits and incentives are designed to encourage businesses to invest in certain types of activities, such as research and development, energy efficiency, and hiring employees from certain disadvantaged groups. alliantgroup services include helping businesses identify and claim these credits and incentives, as well as providing guidance on compliance with the relevant regulations.
alliantgroup is headquartered in Houston, Texas with additional offices located in Austin, Boston, Chicago, Indianapolis, New York, Irvine, Sacramento, Washington, D.C.; and Bristol and London in the U.K.
More about our culture and why we love alliantgroup
alliantgroup India Talent Pvt. Ltd:
alliantgroup started its operations in India in the year 2020 with a world-class office in Hyderabad to provide Tax, Advisory, Audit and Accounting services. alliantgroup India Talent comprises a team of skilled professionals who address the most pressing needs of U.S CPA Firms. We work with the best talent and ensure our clients get top quality services they need. We are currently a family of 1000+ employees.
Our people and culture set us apart as a firm, and our team includes professionals from a diverse array of fields, including business, engineering, software development, law, and accounting.
What you’ll be doing:
We are seeking a highly skilled and motivated Data Scientist to join our team. As a Senior/Lead Data Scientist, your primary responsibility will be to lead design and develop predictive models to derive actionable insights from complex data sets. You will work closely with cross-functional teams to understand business requirements and leverage your expertise in data analysis and modeling techniques to provide valuable solutions.
Additional requirements for this role are dependability and willingness to go above and beyond the call of duty in assisting end-users and following technical issues through to resolution.
What will be your responsibilities:
- Collaborate with domain experts, stakeholders, and data engineers to identify and gather relevant data for analysis.
- Build strategy for Predictive Analytics.
- Data Collection and Integrations.
- Understanding of Natural Language Processing (NLP) techniques.
- Develop and apply advanced analytics for organizational strategy like Prescriptive Analytics/Data optimization and simulation.
- Develop and implement advanced statistical models and algorithms to analyze large and complex datasets.
- Work on Data exploration and Visualization.
- Extensive experience in Data communication and storytelling
- Big Data Analytics, Processing and analyzing large volumes of structured and unstructured data to uncover patterns and trends.
- Perform feature engineering, variable selection, and model validation to improve the accuracy and effectiveness of predictive models.
- Collaborate with stakeholders to understand business requirementsand produce developed models for deployment in real-world systems.
- Stay up to date with the latest advancements in data science, machine learning, computer vision, NLP, and MLOps techniques.
- Coordination with ISMS core team to support ISMS activities and implantation strategies at the company.
What are we looking for:
- Bachelor’s degree in computer science, Statistics, Mathematics, or a related field. A Master's degree is preferred.
- 8+ years of experience and leading small DS teams.
- Proven experience as a Data Scientist or similar role, preferably in a business or industry setting.
- Strong analytical thinking and a passion for data-driven decision-making.
- Experience working on tools like Python, Power BI and Tableau.
- Ability to work independently and collaboratively in a fast-paced and dynamic environment.
What we offer:
With us, there are always opportunities to break new ground. We empower you to take the organization to the next level with the versatile experience that you bring in. We trust you with responsibility early on and support you in all ways to make this organization as trusted partner to the customers and a great place to work for the employees.
Join us and bring your curiosity to life!
Lead Data Scientist
Posted today
Job Viewed
Job Description
Role: Data Science (Senior/Lead)
Location: Hyderabad (Work from Office)
about alliantgroup
alliantgroup is a professional services firm that provides tax consulting and compliance services to businesses in the United States. The company was founded in 2002 and is headquartered in Houston, Texas. alliantgroup services are focused on helping businesses claim tax credits and incentives that they are entitled to under various federal and state programs. These credits and incentives are designed to encourage businesses to invest in certain types of activities, such as research and development, energy efficiency, and hiring employees from certain disadvantaged groups. alliantgroup services include helping businesses identify and claim these credits and incentives, as well as providing guidance on compliance with the relevant regulations.
alliantgroup is headquartered in Houston, Texas with additional offices located in Austin, Boston, Chicago, Indianapolis, New York, Irvine, Sacramento, Washington, D.C.; and Bristol and London in the U.K.
More about our culture and why we love alliantgroup
alliantgroup India Talent Pvt. Ltd:
alliantgroup started its operations in India in the year 2020 with a world-class office in Hyderabad to provide Tax, Advisory, Audit and Accounting services. alliantgroup India Talent comprises a team of skilled professionals who address the most pressing needs of U.S CPA Firms. We work with the best talent and ensure our clients get top quality services they need. We are currently a family of 1000+ employees.
Our people and culture set us apart as a firm, and our team includes professionals from a diverse array of fields, including business, engineering, software development, law, and accounting.
What you’ll be doing:
We are seeking a highly skilled and motivated Data Scientist to join our team. As a Senior/Lead Data Scientist, your primary responsibility will be to lead design and develop predictive models to derive actionable insights from complex data sets. You will work closely with cross-functional teams to understand business requirements and leverage your expertise in data analysis and modeling techniques to provide valuable solutions.
Additional requirements for this role are dependability and willingness to go above and beyond the call of duty in assisting end-users and following technical issues through to resolution.
What will be your responsibilities:
- Collaborate with domain experts, stakeholders, and data engineers to identify and gather relevant data for analysis.
- Build strategy for Predictive Analytics.
- Data Collection and Integrations.
- Understanding of Natural Language Processing (NLP) techniques.
- Develop and apply advanced analytics for organizational strategy like Prescriptive Analytics/Data optimization and simulation.
- Develop and implement advanced statistical models and algorithms to analyze large and complex datasets.
- Work on Data exploration and Visualization.
- Extensive experience in Data communication and storytelling
- Big Data Analytics, Processing and analyzing large volumes of structured and unstructured data to uncover patterns and trends.
- Perform feature engineering, variable selection, and model validation to improve the accuracy and effectiveness of predictive models.
- Collaborate with stakeholders to understand business requirementsand produce developed models for deployment in real-world systems.
- Stay up to date with the latest advancements in data science, machine learning, computer vision, NLP, and MLOps techniques.
- Coordination with ISMS core team to support ISMS activities and implantation strategies at the company.
What are we looking for:
- Bachelor’s degree in computer science, Statistics, Mathematics, or a related field. A Master's degree is preferred.
- 8+ years of experience and leading small DS teams.
- Proven experience as a Data Scientist or similar role, preferably in a business or industry setting.
- Strong analytical thinking and a passion for data-driven decision-making.
- Experience working on tools like Python, Power BI and Tableau.
- Ability to work independently and collaboratively in a fast-paced and dynamic environment.
What we offer:
With us, there are always opportunities to break new ground. We empower you to take the organization to the next level with the versatile experience that you bring in. We trust you with responsibility early on and support you in all ways to make this organization as trusted partner to the customers and a great place to work for the employees.
Join us and bring your curiosity to life!
Lead Data Scientist
Posted today
Job Viewed
Job Description
JOB DESCRIPTION Designation: Lead Data Scientist Location: Hyderabad, India Work Mode: Office Reporting to: Director/Head of Data Science About US: Foundation AI automatically ingests incoming documents, emails, and attachments from across your firm.
It profiles, matches, classifies, and saves each to your DMS and then automates document-dependent workflows according to your rules.
Read more about us at Job Overview: As a Lead Data Scientist, you will serve as a senior technical expert, driving the design and delivery of advanced AI/ML and LLM-based solutions from concept to production.
This is an individual contributor role with a strong alignment and coordination component — ensuring technical excellence, stakeholder engagement, and seamless integration across product, engineering, and delivery teams.
The ideal candidate combines deep hands-on expertise in AI/ML/LLM/RAG systems with practical problem-solving acumen, delivering scalable solutions to complex business challenges.
AI/ML/LLM/RAG Solution Development Architect and implement end-to-end AI/ML solutions, leveraging structured and unstructured data (text, images, metadata, multimodal sources).
Lead development and deployment of LLM-powered systems for classification, retrieval-augmented generation (RAG), information extraction, and summarization.
Apply advanced techniques such as LoRA, PEFT, quantization, and model distillation to optimize model performance, latency, and cost.
Design and implement robust retrieval pipelines with vector search, hybrid retrieval, and reranking strategies.
Technical Excellence & Best Practices Ensure code quality, reproducibility, and model governance across the AI/ML lifecycle — from experimentation to production release.
Establish and promote best practices for data processing, feature engineering, model evaluation, and monitoring.
Conduct rigorous performance benchmarking and failure analysis, ensuring models meet accuracy, throughput, and reliability targets.
Product Lifecycle & Stakeholder Alignment Partner closely with product managers, engineers, and customer-facing teams to translate business needs into AI/ML requirements.
Align model development milestones with product release schedules, ensuring timely and high-quality delivery.
Serve as a technical advisor during project scoping, prioritization, and release readiness reviews.
Research, Innovation & Thought Leadership Stay current with cutting-edge research in AI, ML, NLP, LLMs, multimodal models, retrieval systems, and document intelligence.
Proactively identify opportunities to enhance existing algorithms and develop novel approaches.
Share learnings through internal tech talks, documentation, and mentorship to foster a culture of innovation.
Skills and Tools: LLM & GenAI Expertise : Minimum 2 years of hands-on experience fine-tuning, prompting, and deploying LLMs (commercial and open-source) such as GPT, Claude, Gemini, Mistral, LLaMA, Falcon, Vicuna, MPT, T5.
NLP & Information Retrieval : At least 4 years working with NLP tasks — classification, NER, summarization, QA, RAG architectures — using Transformer-based models (BERT, RoBERTa, T5, etc.).
Deep Learning Frameworks : Strong experience with PyTorch and/or TensorFlow for model training and deployment.
Coding & Engineering : Expert-level Python; strong SQL; experience with FastAPI/Flask for serving models; Git proficiency.
Data & Infra : Proficiency with PostgreSQL and vector databases (Pinecone, Qdrant, Weaviate, etc.); familiarity with Docker/Kubernetes.
MLOps & Scaling : Experience with MLFlow/KubeFlow/SageMaker or equivalent for training pipelines, deployment, and monitoring at scale.
Prompt Engineering : Skilled in CoT, self-consistency, ToT, and advanced prompting for LLM optimization.
Ability to simplify complex technical concepts for diverse stakeholders.
Strong problem-solving skills with a bias toward scalable, maintainable solutions.
Excellent communication and documentation skills.
Track record of aligning technical execution with business priorities and delivery timelines.
Experience with multimodal models (text + vision).
Knowledge of knowledge graph construction and integration.
Familiarity with cloud services (AWS preferred).
Exposure to compliance and governance requirements in AI systems Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Electrical Engineering, Statistics, or a related discipline from a recognized Tier-1 or Tier-2 institution.
We value equal opportunity and affirmative action principles, giving everyone an equal chance to succeed.
We're dedicated to offering equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status.
Upholding these values and adhering to applicable laws is paramount to us. Competencies Areas Tools/Skills Must / Good to have Experience LLM / GenAI Development GPT, Claude, Gemini, Mistral, LLaMA, T5, Falcon, Vicuna, MPT, OpenAI APIs Must Have Min 2 Years NLP Expertise NLTK, spaCy, HuggingFace Transformers, SentenceTransformers Must Have Min 4 Years RAG & Information Retrieval LangChain, LlamaIndex, Pinecone, Qdrant, Weaviate Must Have Min 1 Year Production-Scale Model Deployment MLFlow, KubeFlow, Ray Serve, SageMaker, CI/CD for ML Must Have Min 2 Years Transformer & Advanced Architectures BERT, RoBERTa, T5, LLaMA-based fine-tuning Must Have Min 3 Years Python & Software Engineering NumPy, Pandas, Scikit-learn, FastAPI, Flask, REST APIs Must Have Min 4 Years Prompt Engineering CoT, Self-Consistency, ToT, Retrieval-Enhanced Prompting Must Have Min 1 Year Vector & Relational Databases PostgreSQL, Pinecone, Qdrant Must Have Min 1 Year Deep Learning Frameworks PyTorch, TensorFlow Must Have Min 3 Years Containerization & Orchestration Docker, Kubernetes Must Have — Cloud & MLOps AWS (S3, EC2, Lambda, SageMaker), GCP, Azure Good to Have — Computer Vision / Multimodal AI ResNet, YOLO, CLIP, BLIP Good to Have — Model Optimization Techniques LoRA, PEFT, Quantization, Pruning, Distillation Must Have Min 1 Year Stakeholder Alignment & Product Integration Agile, Scrum, cross-functional collaboration Must Have — For any feedback or inquiries, please contact us at Learn more about us at Powered by JazzHR
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Lead Data Scientist
Posted today
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:
Creating innovative solutions driven by exploratory data analysis from diverse datasets Responsible for developing/delivering end-to-end Machine Learning projects/solutions that have a high degree of value, ambiguity, scale and complexity Ability to coach/guide follow data scientists and accountable for delivering advanced analytics products Using an analytical approach to design, develop, and implement data enrichments, predictive models, and advanced algorithms that lead to expanded value extraction from data Leading efforts for applied use of machine learning to drive process optimization and transformation Applying knowledge of data modeling, statistics, machine learning, programming, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to more actionable insights Working with analytics and statistical software and products, such as SQL, R, Python, Hadoop and others to perform analysis and interpret data Creating artifacts like STM, HLD, LLD for hardening prototypes into production (prototype to hardening) Communicate the performance of the machine learning algorithms across an interdisciplinary team
Developing and managing a comprehensive catalog of scalable data services that expand the value of analytical offerings Designing and promoting best practices related to data enrichment, advanced modeling, and algorithm creation in support of analytically driven insight Collaborating with business intelligence architects and domain analysts to maximize the effectiveness of business intelligence tools, dashboards, and other dynamic reporting capabilities Leading efforts to build sophisticated data enrichment processes that server as the single source of truth to expanded insights on base data Ensuring complex analytics adhere to statistical best practices
Required Qualifications:
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 #NJP
Lead Data Scientist
Posted today
Job Viewed
Job Description
We are seeking a highly skilled Lead Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modeling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes.
Key Responsibilities:
- Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions.
- Analyze pricing elasticity to predict consumer response to changes in price, helping clients maximize revenue and market share.
- Implement and deploy machine learning models using AWS SageMaker for scalable and efficient performance in a cloud environment.
- Utilize Bayesian modeling to support decision-making processes, providing insights into uncertainty and model predictions.
- Collaborate with cross-functional teams to integrate data-driven insights into business processes.
- Communicate complex results and findings in a clear and concise manner to both technical and non-technical stakeholders.
- Continuously explore and experiment with new modeling approaches and tools to improve accuracy and efficiency of pricing solutions.
Qualifications
Experience : 7+ Years
- Bachelor’s or Master’s degree in Data Science, Statistics Mathematics Economics, or a related field. Advanced degrees preferred.
- 7+ years of hands-on experience in data science, with a focus on pricing optimization and elasticity modeling.
- Expertise in Bayesian modeling and machine learning techniques.
- Proven experience working with AWS SageMaker for model development, deployment, and monitoring.
- Familiarity with AWS Certified Data Analytics – Specialty certification is a plus.
- Strong programming skills in Python (preferred) or R.
- Experience with cloud platforms (AWS preferred), including SageMaker.
- Proficiency in statistical analysis tools and libraries (e.g., NumPy, Pandas, PyMC3, or similar)
- Excellent problem-solving and analytical thinking skills.
- Ability to work in a fast-paced environment and manage multiple projects.
- Strong communication skills with the ability to explain complex concepts to non-technical audiences.
Preferred Qualifications:
- Experience with A/B testing, econometrics, or other statistical experimentation methods.
- Familiarity with other cloud computing platforms (e.g., Azure, GCP).
- Experience working in cross-functional teams and client-facing roles.
Additional Information
- Opportunity to work with cutting-edge technology in a dynamic environment.
- Exposure to a diverse range of industries and projects.
- Collaborative and inclusive work culture with opportunities for growth and professional development.
Lead Data Scientist
Posted today
Job Viewed
Job Description
Description
We are seeking a highly skilled Lead Data Scientist to join our team and lead a project focused on developing novel data science models and machine learning algorithms to solve complex problems.
In this role, you will be responsible for designing, developing, and implementing data science models and machine learning algorithms, including data pre-processing, training, optimization, and evaluation of models. You will work collaboratively with data engineers and data scientists to collect, pre-process, and curate datasets suitable for training, and train and fine-tune machine learning/deep learning models using large-scale datasets and distributed computing frameworks.
#LI-DNI
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Requirements
We offer