Junior Data Scientist

Capgemini is hiring a Junior Data Scientist to help build and deploy AI-driven solutions that support customer engagement, personalization, recommendation, decision optimization, and customer insights. This hybrid role in the U.S. focuses on end-to-end work across predictive modeling, recommender systems, optimization, and GenAI, with an emphasis on responsible AI practices and practical deployment at scale.

What you’ll do

• Develop and deploy AI solutions across use cases including customer engagement, personalization, recommendation, decision optimization, and customer insights.
• Partner with business stakeholders while applying advanced AI/ML tools and platforms to solve a range of business problems.

Core requirements

• Education: Master’s or Ph.D. degree in Computer Science, Data Science, Operations Research, Statistics, Applied Mathematics, or a related discipline.
• Experience: 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, including predictive modeling, propensity models, recommender systems, deep learning, and graph-based learning techniques.
• Hands-on work with advanced NLP frameworks (such as Transformers), plus experience with GenAI solutions and LLMs.
• Experience formulating and solving optimization problems.
• Knowledge of model evaluation, tuning, performance measurement, deployment, and solution scalability.
• Strong verbal and written communication skills, with the ability to present and communicate effectively to both business and technical teams.

Technologies and tools

• Python, SQL, MLOps, Scikit-learn, TensorFlow, PyTorch, and Hugging Face
• AWS Sagemaker
• GenAI solutions including RAG, agentic AI workflows, LLM evaluation frameworks, Transformers, LLMs, and LLM Finetuning
• Knowledge retrieval, Feature engineering, A/B testing, and graph-based learning techniques

Location and work setup

• Westlake TX / Smithfield RI / Boston MA / Merrimack NH / Durham NC (Day One Onsite - Hybrid)

Additional 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, including optimization packages and solvers (for example, IBM ILOG CPLEX, Gurobi, Google OR-Tools).

Compensation and salary transparency

The base salary range for the tagged location is $56,186 to $87,556 per year. This role may be eligible for other compensation including variable compensation, bonus, or commission.

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), including Vacation: 12-25 days depending on grade, plus Company paid holidays, Personal Days, and Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (for example, 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs