Data Scientist II – AI/ML Innovation in a Regulated Environment
Location: San Francisco, CA | Hybrid (Monday–Wednesday in-office, 8 AM–5 PM; flexibility required)
Overview
Join a forward-thinking team shaping the future of data-driven decision-making. As a Data Scientist II, you’ll develop and productionize sophisticated AI/ML models that directly impact organizational performance. You’ll operate at the intersection of advanced analytics and business strategy—designing scalable solutions, refining predictive models, and delivering insights that drive measurable outcomes. This role is ideal for an experienced data scientist who thrives in a regulated environment and is eager to bring high-impact innovation to life through collaboration and technical mastery.
Required Skills
- Master’s or PhD in Data Science, Computer Science, Statistics, or a related quantitative field
- Minimum 5+ years of hands-on data science experience, from model ideation through production deployment
- Deep expertise in Machine Learning and/or Deep Learning techniques
- Strong proficiency in Python, SQL, and AWS environments
- Proven ability to handle large, complex, and messy datasets with a focus on data integrity and usability
- Solid understanding of model scalability, monitoring, and performance optimization
- Exceptional communication skills to translate technical details for non-technical stakeholders
Nice to Have Skills
- Experience within healthcare, life sciences, or other highly regulated industries
- Familiarity with claims data or similarly complex datasets
- Working knowledge of data privacy, compliance, and governance standards
- Hands-on experience implementing MLOps practices, including automation, deployment, and continuous monitoring
Preferred Education and Experience
- Advanced degree (Master’s or PhD) in a quantitative discipline
- Track record of success developing, deploying, and maintaining production-grade ML models
- Prior experience building scalable data pipelines and ML systems within regulated environments
Other Requirements
- Must be available for a hybrid schedule three days per week in the South San Francisco office
- Will participate in an in-person, multi-stage interview process that includes a HackerRank technical assessment (SQL & Python) and a machine learning/AI design interview
- Comfortable working in a fast-paced, collaborative setting with evolving priorities
Bring your analytical depth, technical precision, and creative problem-solving to a team that values innovation and clarity. If you’re ready to turn data into meaningful impact, we invite you to apply today.
