Data Scientist

DataJobs; Philadelphia (Philadelphia County); On-site; USD 51,000 - 80,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Retirement benefits

Job summary

Capgemini is hiring a Data Scientist for an onsite contract in Philadelphia, PA. You will help build algorithmic decision-making systems spanning ML, neural networks, MLOps, and GenAI, with hands-on work across ETL, data pipelines, and knowledge graphs.

You’ll join a data-centric culture and collaborate in an Agile/DevOps environment, educating teams on AI and analytics while delivering measurable business value.

Qualifications

• 7-10 years of proven experience in Data Science, ML, or related fields.
• Strong expertise in Python, SQL, and modern ML frameworks: TensorFlow, PyTorch, Scikit-Learn
• Experience with MLOps tools such as MLflow, Kubeflow, and Airflow for deployment and monitoring
• Proficiency in Google Cloud Platform (GCP), AWS, and scalable data engineering
• Strong understanding of probability, statistics, and experimental design including A/B Testing
• Experience with Agile and DevOps practices
• Experience with knowledge graphs and integration into AI/ML pipelines, including Neo4j
• Hands-on experience with LLMs and Generative AI technologies (GPT, BERT, LLaMA, Claude)
• Background in Retail and Personalization Web Technologies
• Proficiency in BI tools and data visualization
• Experience with recommendation models, semantic search, LLM search, and candidate ranking
• Bachelor’s degree or equivalent in CS/Math/Engineering or related field

Responsibilities

• Lead the implementation of algorithmic decision-making at scale within Group Digital.
• Craft and implement machine learning models and neural networks, with MLOps for deployment.
• Develop and optimize predictive and prescriptive models to extract insights.
• Apply deep learning for customer classification, profiling, segmentation, and personalization.
• Implement MLOps to deploy, monitor, and maintain ML models in production.
• Implement and tune LLMs and Generative AI for automation and engagement.
• Integrate knowledge graphs to strengthen data relationships and recommendations.
• Build robust data pipelines for large-scale ETL using SQL and cloud solutions (GCP preferred).
• Write complex SQL for ETL tasks.
• Implement CI/CD workflows to automate model training, deployment, and monitoring.
• Communicate methodologies and insights to technical and non-technical audiences.
• Work in an Agile/DevOps environment with cross-functional teams.

Skills

Python

SQL

TensorFlow

PyTorch

Scikit-Learn

MLOps

GCP

AWS

LLMs

Generative AI

Education

Bachelor's degree in CS/Math/Engineering

Tools

MLflow

Kubeflow

Airflow

Kubernetes

Neo4j

Job description

Capgemini is hiring a Data Scientist for an onsite contract role in Philadelphia, PA. In this position within Group Digital, you will help build algorithmic decision-making systems that improve personalization and automation at scale, with hands-on work spanning machine learning, neural networks, MLOps, and modern GenAI approaches.

You’ll join a data-centric culture, including opportunities to educate teams on the strategic importance of AI and analytics, while collaborating in an Agile/DevOps environment with cross-functional partners.

Responsibilities

• Lead the implementation of algorithmic decision-making at scale within Group Digital
• Craft and implement machine learning models and neural networks, along with supporting MLOps practices, to enhance personalization and automation
• Develop and optimize predictive and prescriptive models to extract insights and improve decision-making
• Apply deep learning techniques for customer classification, profiling, segmentation, and personalization
• Implement 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 strengthen data relationships and improve recommendations
• Build robust data pipelines for large-scale ETL processing using SQL and cloud-based solutions (GCP preferred)
• Write complex SQL for extracting, transforming, and loading (ETL) data efficiently
• Implement CI/CD workflows to automate model training, deployment, and monitoring
• Communicate complex methodologies, results, and business insights to technical and non-technical audiences
• Work in an Agile/DevOps environment to drive data-driven innovation with cross-functional teams

Requirements

• 7-10 years of proven 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 such as MLflow, Kubeflow, and Airflow for deployment and monitoring
• Proficiency in Google Cloud Platform (GCP), AWS, and scalable data engineering
• Strong understanding of probability, statistics, and experimental design including A/B Testing
• Experience with collaborative software engineering practices, including Agile and DevOps
• Experience with knowledge graphs and integration into AI/ML pipelines, including Neo4j
• Hands-on experience with LLMs and Generative AI technologies (including GPT, BERT, LLaMA, Claude)
• Background in Retail and Personalization Web Technologies
• Proficiency in business intelligence (BI) tools and data visualization
• Experience with recommendation models, and information retrieval including semantic search, LLM search, and candidate ranking
• Bachelor’s degree or equivalent experience in Computer Science, Mathematics, Engineering, or related field

Pay Range

$36.98/hour - $57.79/hour

Benefits

• Medical
• Dental
• Vision
• Retirement benefits