Data Scientist job at Capgemini in Philadelphia, PA

Title: Data Scientist Location: United States Ref. code: 385711-en_GB Business unit: Engineering and RandD Services Brand: Capgemini Engineering Professional communities: Data & AI Job Description: 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. 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 national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 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 Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. Apply tot his job Apply To this Job