Senior Data Scientist

Senior Data Scientist

South San Francisco, United States | Posted on 04/29/2026

Our client, a world leader in biotechnology and life sciences, is looking for a Senior Data Scientist based out in South San Francisco, CA
.

Job Duration: Long Term Contract (Possibility Of Extension & FT Conversion)

Rate: $75-$78/hr on W2 (DOE)

Company Benefits: Medical, Dental, Vision, Paid Sick leave, 401K

This role is to support high-impact AI/ML initiatives within a regulated environment and will focus on advancing targeting models and delivering scalable, production-ready solutions that drive business outcomes.

The ideal candidate brings strong technical depth, hands-on model development experience, and the ability to operate independently while collaborating across cross‑functional teams.

• Lead the design, development, and optimization of machine learning models to improve targeting accuracy and business performance
• Apply advanced Machine Learning and Deep Learning techniques to refine existing models and develop new solutions as needed
• Design and build scalable feature pipelines, transforming raw and complex datasets into high-quality model inputs
• Work with large, messy datasets (e.g., claims data) while ensuring data integrity and usability
• Transition analytical models and scripts into robust, production-ready pipelines
• Ensure code quality, documentation, and adherence to engineering and data science best practices
• Support model deployment, monitoring, and ongoing performance improvements

• Partner with data science, analytics, and business teams to translate business problems into technical solutions
• Communicate model methodologies, assumptions, and results clearly to non‑technical stakeholders

Required

• Master’s or PhD in Data Science, Computer Science, Statistics, or a related field
• Minimum 5+ years of hands‑on experience in data science and machine learning model development
• Proven track record of taking models from ideation through production deployment
• Strong proficiency in Python, SQL, and AWS
• Deep expertise in Machine Learning and/or Deep Learning techniques
• Experience working with large‑scale, complex datasets in collaborative environments

Preferred

• Experience with in healthcare, pharmaceutical, or other highly regulated industries
• Hands‑on experience with claims data or similarly complex, regulated datasets
• Strong understanding of data privacy, compliance, and governance requirements
• Experience with MLOps practices, including pipeline automation, deployment, and monitoring