Capgemini Engineering · 3 weeks ago
Sr Data Scientist - Retail Industry
Greater Philadelphia
Full-time
Hybrid
Senior Level
7+ years expCapgemini Engineering is a world leader in engineering and R&D services, focusing on digital transformation through AI and machine learning. The role of Sr Data Scientist involves leading high-impact projects that drive personalization and automation, collaborating with professionals to enhance decision-making and AI/ML adoption across a global organization.
ConsultingInformation ServicesInformation TechnologyInnovation ManagementMechanical Engineering
No H1B
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, 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
Qualification
Required
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
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
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
Company
Capgemini Engineering
Capgemini Engineering is a global innovation and engineering consulting firm.
Founded in 1982Paris, Ile-de-France, FRA
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$4M2019-06-24Acquired
2006-09-19Post Ipo Equity· $4M
1990-01-05IPO
Leadership Team
Joao Neiva
Automotive Mobility Experience Offer Leader
Pascal Brier
Group EVP Strategy, Technology & Inovation
Recent News
2025-11-23
Mexico Business
2025-11-19
Company data provided by crunchbase