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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Capgemini - **Location:** Boston, MA, United States - **Experience:** Starter - **Salary:** $56,186.0 - $87,556.0 - **Contract:** Permanent contract - **Skills:** A/B Testing, Artificial Intelligence, Amazon Web Services, IBM ILOG CPLEX Optimization Studio (CPLEX), Data Mining, Graph Database, Information Retrieval, Python (Programming Language), Machine Learning, Mathematical Programming, Performance Tuning, Recommender Systems, Tensorflow, SQL Databases, Feature Engineering, Pytorch, Retrieval-Augmented Generation, Transfer Learning, Large Language Models, Deep Learning, Model Validation, Agentic-AI, Scikit Learn, Information Technology, HuggingFace, Machine Learning Operations, Evaluation of Large Language Models - **Published:** September 30, 2026 - **Apply:** https://www.dice.com/job-detail/3768c613-76f9-4b45-9a5c-9b0b81c91eeb ## About the Role * Python, SQL, MLOps, and modern AI/ML development frameworks, AI/ML lifecycle, GenAI solutions including RAG, agentic AI workflows, LLM evaluation frameworks, * 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 Must Have Skills * 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 Have Skills * 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.) ## Description * 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. * The Value You Deliver 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. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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