Junior Data Scientist

Capgemini • Burlington, MA

14h • $56,186 - $87,556 • Hybrid

About The Position

Capgemini is seeking a Data Scientist with expertise in predictive modeling, personalization, recommender systems, optimization, GenAI, and responsible AI systems. This role offers an exciting environment for multidisciplinary AI research and development with access to a diverse set of data sources. We are looking for individuals from computer science, machine learning, data mining, optimization, and related technical fields who have a passion and demonstrated ability for delivering AI-powered solutions that drive meaningful customer and business outcomes. As part of a high-caliber team of researchers and practitioners, you will work closely with business stakeholders and leverage advanced AI/ML tools and platforms to solve a variety of business problems. You will be responsible for developing and deploying AI-driven solutions across use cases such as customer engagement, personalization, recommendation, decision optimization, and customer insights.

Requirements

• 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 in unsupervised and supervised machine learning, predictive modeling, propensity models, recommender systems, deep learning, graph-based learning techniques
• Experience working with advanced NLP frameworks (Transformers, etc.), GenAI solutions, and LLMs
• Experience in formulating and solving optimization problems
• Knowledge of model evaluation, tuning, performance measurement, deployment and solution scalability
• Strong verbal/written communication and presentation skills, including the ability to effectively communicate with both business and technical teams
• Strong hands-on experience building predictive machine learning models, recommender systems, ranking models, and prescriptive optimization models
• Strong proficiency in Python, SQL, MLOps, and modern AI/ML development frameworks (Scikit-learn, TensorFlow, PyTorch, Hugging Face, AWS Sagemaker, etc.)
• 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 Finetuning, LLM evaluation frameworks

Nice To Haves

• Experience in applying ML, DL, Econometric and Foundation Models for time series forecasting
• Experience working with knowledge graph, graph-based learning approaches
• Experience in constraint/mathematical programming, optimization packages and solvers (IBM ILOG CPLEX, Gurobi, Google OR-Tools, etc.)

Responsibilities

• Developing and deploying AI-driven solutions across use cases such as customer engagement, personalization, recommendation, decision optimization and customer insights.
• Leveraging advanced AI/ML tools and platforms to solve a variety of business problems.
• Working closely with business stakeholders.

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 like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief
• Vacation: 12-25 days, depending on grade
• Company paid holidays
• Personal Days
• Sick Leave
• Medical, dental, and vision coverage
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level