Data Scientist

Overview

Join to apply for the Data Scientist role at Capgemini Engineering . Hybrid in Philadelphia, PA – relocation available for the right candidate.

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 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 ETL 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

Preferred Qualifications

Compensation and Benefits

The base compensation range for this role in the posted location is : $86,900 - $168,688 / Year. Capgemini provides compensation range information in accordance with applicable laws. The actual compensation offered may fall outside the posted range and is determined based on multiple factors. Benefits include a comprehensive, non-negotiable benefits package for regular, full-time employees, including paid time off, health coverage, retirement plans, and more, as described in local policy.

Disclaimers and Equal Opportunity

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. We value diversity and provide reasonable accommodations during recruitment as needed. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity, age, religion, disability, sexual orientation, or any other characteristic protected by law. For more information about your rights, see the applicable EEO notice.

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