Capgemini Engineering · 8 hours ago
Data Scientist
Philadelphia, PA
Full-time
Hybrid
Senior Level
$87K/yr - $169K/yr
7+ years expCapgemini Engineering, the world leader in engineering services, is seeking a Data Scientist to shape the future of digital transformation through AI and machine learning. In this role, you will lead high-impact projects that drive personalization, automation, and smarter decision-making across digital products, collaborating with top-tier professionals in a fast-paced environment.
ConsultingInformation ServicesInformation TechnologyInnovation ManagementMechanical Engineering
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
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
Company
Capgemini Engineering
Capgemini Engineering is a global innovation and engineering consulting firm.
Founded in 1982Paris, Ile-de-France, FRA
10001+ employees
H1B Sponsorship
Capgemini Engineering has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (1)
2021 (12)
2020 (24)
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