Senior Data Scientist (Level II)

Senior Data Scientist (Level II) ROCGJP00040352

• Hourly pay: $50-$60/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.

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