Senior Data Scientist (Level II)

Senior Data Scientist (Level II) ROCGJP00040352
* Hourly pay: $65-$75/hr
* Worksite: Leading biotechnology company (South San Francisco, CA 94080 - Hybrid - 3 days onsite)
* W2 Employment, Group Medical, Dental, Vision, Life, Retirement Savings Program, PSL
* 40 hours/week, 4 Month Assignment

A leading biotechnology company is seeking a Senior Data Scientist (Level II) to support high-impact AI/ML initiatives within a regulated environment. This role will focus on advancing targeting models and delivering scalable, production-ready solutions that drive business outcomes.

Senior Data Scientist (Level II) Responsibilities:
* Lead the design, development, and optimization of machine learning and deep learning models to improve targeting accuracy and business performance.
* Design and build scalable feature pipelines, transforming large, complex datasets (e.g., claims data) into high-quality model inputs while ensuring data integrity.
* Develop and maintain production-ready data science solutions by transitioning analytical models into robust, scalable pipelines.
* Ensure code quality, documentation, and adherence to data science and engineering best practices.
* Support model deployment, monitoring, and continuous performance optimization.
* Partner with cross-functional teams and communicate methodologies, assumptions, and results clearly to both technical and non-technical stakeholders.

Senior Data Scientist (Level II) Qualifications:
* 5+ years of hands-on experience in data science and machine learning model development.
* Master's or PhD in Data Science, Computer Science, Statistics, or a related field.
* Proven track record of taking models from ideation through production deployment.
* Strong proficiency in Python, SQL, and AWS.
* Expertise in Machine Learning and/or Deep Learning techniques.
* Experience working with large-scale, complex datasets in collaborative environments.
* Experience within healthcare, pharmaceutical, or other highly regulated industries is preferred.
* Hands-on experience with claims data or similarly complex, regulated datasets is preferred.
* Strong understanding of data privacy, compliance, and governance requirements is preferred.
* Experience with MLOps practices, including pipeline automation, deployment, and monitoring, is preferred.

Shift:
* 8:00 am to 5:00 pm (flexibility is required).
* On-site work: Monday, Tuesday, and Wednesday.