Senior Data Scientist- AI /ML- Retail Industry

About the Job You’re Considering

Are you ready to shape the future of digital transformation through AI and machine learning? We’re looking for a Data Scientist who thrives on innovation and wants to make an impact at scale. In this role, you’ll lead high-impact projects that drive personalization, automation, and smarter decision-making across our digital products. You’ll collaborate with top-tier professionals in a fast-paced, inclusive environment, working with cutting-edge technologies like Large Language Models (LLMs), Generative AI, and Knowledge Graphs. You’ll work on projects that truly matter, driving AI/ML adoption across a global organization. You’ll have the chance to innovate, learn, and grow alongside industry experts while contributing to a culture that values diversity, creativity, and continuous improvement. Hybrid in Philadelphia, PA – relocation available for the right candidate.

Your Role

• Develop and optimize predictive and prescriptive models to extract insights and enhance decision-making.
• Apply deep learning and neural network techniques for customer classification, segmentation, and personalization.
• Utilize MLOps to efficiently deploy, monitor, and maintain ML models in production.
• Implement and fine-tune Large Language Models (LLMs) and Generative AI solutions for automation and user engagement.
• Explore and integrate knowledge graphs to enhance data relationships and improve AI-driven recommendations.
• Work with data engineers to design and develop robust data pipelines for large-scale ETL processing using SQL and cloud-based solutions (GCP preferred).
• Write complex SQL queries for extracting, transforming, and loading (ETL) data efficiently and implement CI/CD workflows to automate model training, deployment, and monitoring.
• Collaborate in an Agile/DevOps environment, promoting a data-centric culture and clearly communicating complex methodologies and insights to technical and non-technical audiences.

Your Skills and Experience

• 7+ years of experience in Data Science, Machine Learning, or related fields.
• Strong expertise in Python, SQL, and modern ML frameworks (TensorFlow, PyTorch, Scikit-Learn).
• Experience with MLOps tools (MLflow, Kubeflow, Airflow) for model deployment and monitoring.
• Proficiency in cloud platforms (GCP/AWS) and scalable data engineering.
• Strong understanding of probability theory, statistics, and experimental design (A/B Testing).
• Experience with collaborative software engineering practices (Agile, DevOps).
• Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering, or related field.

Preferred Qualifications

• Experience with Knowledge Graphs and their integration into AI/ML pipelines.
• Hands-on experience in LLMs (e.g., GPT, BERT, LLaMA, Claude) and Generative AI technologies.
• Background in Retail and Personalization Web Technologies.
• Understanding of digital ecosystems and data-driven decision-making.
• Proficiency in BI tools and data visualization.

Life at Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• 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