Senior Data Scientist

Capgemini; New York (NY); Hybrid; USD 80,000 - 106,000; Full time

Benefits offered by this job

Flexible work

Healthcare coverage

401(k) plan

Paid time off

Parental leave

Learning programs

Mentoring

Employee resource groups

Job summary

Capgemini in Brooklyn, NY is seeking a Senior Data Scientist to develop and deploy AI-driven solutions across predictive modeling, personalization, recommender systems, optimization, and GenAI, with emphasis on responsible AI. You will partner with business stakeholders and apply advanced AI/ML tools and platforms to support customer engagement and decision optimization use cases.

The role requires leadership across the AI/ML lifecycle and strong communication with cross-functional teams.

Qualifications

• Master’s or Ph.D. in Computer Science, Data Science, Operations Research, Statistics, Applied Mathematics, or related discipline.
• 5+ years of experience in Artificial Intelligence, Machine Learning, Data Science, Advanced Analytics, or related fields.
• Experience with unsupervised and supervised ML, predictive modeling, recommender systems, deep learning, and graph-based learning.
• Experience with NLP frameworks (Transformers), GenAI solutions, and LLMs.

Responsibilities

• Develop and deploy AI-driven solutions for customer engagement, personalization, recommendation, decision optimization, and customer insights.
• Partner closely with business stakeholders and use advanced AI/ML tools and platforms to address diverse business problems.

Skills

Python

SQL

MLOps

NLP Frameworks

Transformers

GenAI

LLMs

AWS SageMaker

TensorFlow

PyTorch

Scikit-learn

Graph Learning

Education

Master’s or Ph.D. in Computer Science/Data Science/OR/Statistics

Tools

Hugging Face

IBM ILOG CPLEX

Google OR-Tools

Job description

This role is for a Senior Data Scientist who will develop and deploy AI-driven solutions across predictive modeling, personalization, recommender systems, optimization, and GenAI, with an emphasis on responsible AI. You will partner with business stakeholders and apply advanced AI/ML tools and platforms to support customer engagement and decision optimization use cases.

Role Responsibilities

• Develop and deploy AI-driven solutions for customer engagement, personalization, recommendation, decision optimization, and customer insights.
• Partner closely with business stakeholders and use advanced AI/ML tools and platforms to address diverse business problems.

Required Qualifications

• Master’s or Ph.D. degree in Computer Science, Data Science, Operations Research, Statistics, Applied Mathematics, or a related discipline.
• 5+ years of prior work experience in Artificial Intelligence, Machine Learning, Data Science, Advanced Analytics, or related technical fields.
• Experience with unsupervised and supervised machine learning, predictive modeling, propensity models, recommender systems, deep learning, and graph-based learning techniques.
• Experience using advanced NLP frameworks (Transformers, etc.), GenAI solutions, and LLMs.
• Experience formulating and solving optimization problems.
• Knowledge of model evaluation, tuning, performance measurement, deployment practices, and solution scalability.
• Strong verbal, written, and presentation skills, with the ability to communicate effectively with both business and technical teams.
• Hands-on experience building predictive machine learning models, recommender systems, ranking models, and prescriptive optimization models.
• Proficiency in Python, SQL, MLOps, and modern AI/ML development frameworks such as Scikit-learn, TensorFlow, PyTorch, Hugging Face, and AWS Sagemaker.
• Expertise across the AI/ML lifecycle, including experimentation, A/B testing, feature engineering, model development, deployment, monitoring, measurement, and governance.
• Experience evaluating, deploying, and governing GenAI solutions, including RAG, knowledge retrieval, agentic AI workflows, LLM fine-tuning, and LLM evaluation frameworks.

Technologies

• Python, SQL, MLOps
• Scikit-learn, TensorFlow, PyTorch
• Hugging Face, Transformers
• AWS Sagemaker
• LLMs, GenAI, RAG, LLM fine-tuning
• A/B testing, graph-based learning techniques

Compensation and Location

• Location: Brooklyn, NY (hybrid)
• Salary: USD 80,420 - 106,050 per year

Benefits

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits including adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits such as subsidized back-up child/elder care and tutoring
• Mentoring, coaching, and learning programs
• Employee Resource Groups
• Disaster Relief
• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs

Nice to Have Skills

• Experience applying ML, DL, Econometric, and Foundation Models for time series forecasting
• Experience with knowledge graphs and graph-based learning approaches
• Experience with constraint or mathematical programming, optimization packages, and solvers such as IBM ILOG CPLEX, Gurobi, or Google OR-Tools

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career.