Junior Data Scientist

Capgemini•Atlanta, NY

4d•Hybrid

About The Position

We are looking for a Data Scientist with expertise in predictive modeling, personalization, recommender systems, optimization, GenAI, and responsible AI systems. It offers an exciting environment for multidisciplinary AI research and development with access to a diverse set of data sources. We seek applicants from all areas of computer science, machine learning, data mining, optimization and related technical fields with a passion and demonstrated ability for delivering AI-powered solutions that drive meaningful customer and business outcomes.

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