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Senior Data Scientist
Job Location:
Job Location:
South San Francisco, CA - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
24 May 2026 (30+ days ago)
Posted:
Application Deadline:
21 August 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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
Job Summary
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.
Key Responsibilities
Model Development & Optimization
- 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
Feature Engineering & Data Preparation
- 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
Production & Pipeline Scalability
- 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
Cross-Functional Collaboration & Insight Translation
- 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
Qualifications
Required
- Masters 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 within 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
Required Skills:
SQL Python Predictive Modeling MLOps
