Data Scientist

Capgemini • Berwyn, IL

1d • Remote

About The Position

We are seeking a highly skilled Data Scientist to drive the adoption of algorithmic decision-making at scale within Group Digital. This role will focus on developing and deploying machine learning models, neural networks, supporting MLOps practices, to enhance personalization, and automation within our digital products. The ideal candidate will have experience in retail, personalization web technologies, and cutting-edge AI methods, including Recommendation Engines, Large Language Models (LLMs), Generative AI, and Knowledge Graphs

Requirements

• 5+ 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) and scalable data engineering.
• Experience implementing and testing recommendation engines.
• Strong understanding of probability theory, statistics, and experimental design (A/B
• Experience with collaborative software engineering practices (Agile, DevOps).
• Bachelor's or Master’s degree in Computer Science, Mathematics, Engineering, or related field.

Nice To Haves

• Background in Retail and Personalization Web Technologies, with experience with Knowledge Graphs and their integration into AI/ML pipelines.

Responsibilities

• Develop and optimize predictive and prescriptive models to extract insights and enhance decision-making.
• Apply deep learning and neural network techniques for customer classification and profiling, customer segmentation and personalization.
• Utilize MLOps and GCP services 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).
• Implement CI/CD workflows to automate model training, deployment, and monitoring.
• Work in an Agile/DevOps environment, collaborating with cross-functional teams to drive data-driven innovation.
• Promote a data-centric culture by educating teams on the strategic importance of AI and analytics.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees