Staff Data Scientist (Product Analytics)

• We are hiring a Staff Data Scientist, Product Analytics to build the analytical and modeling foundation for our team
• This role sits at the intersection of Data science and analytics, Customer support operations, Product and member journey data, Forecasting and workforce planning
• As part of this effort, you will help unify data across systems (customer support, product, health, and business) and develop models and metrics that provide understanding around our members to improve their experiences, increase operational efficiency, and enable proactive, data-driven decision making
• This role is best suited for those energized by fast-paced environments, excited to build in a high-growth setting, and deeply motivated by our mission at Function
• If you’re looking for meaningful challenges, dynamic work, and the opportunity to make a real impact—we’d love to meet you
• Develop measurement frameworks and north star metrics and data structures that allow different parts of the company to facilitate decision-making
• Perform strategic and operational analyses to identify and prioritize product and business initiatives (e.g. analyses to uncover insights from member support and health testing data, improving user experiences)
• Develop models (heuristic, predictive, or ML) and data products that empower the business (e.g. customer support demand forecasting)
• Drive self-service to enable a data-driven organization through documentation, education, and training
• Ensure data quality, security, and compliance within all analytical frameworks

Benefits

• Choose your own holidays
• 401k Match
• Health Insurance- 8+ years of experience in data science or analytics at consumer or Enterprise tech companies
• Degree in Data Science, Biostatistics, Computer Science, or a relative quantitative field
• Ability to communicate complex findings to non-technical stakeholders
• Proficiency in Python, SQL, and data visualization tools
• Experience using generative AI tools to accelerate project development
• Experience with GCP (Google Cloud Platform) and Databricks
• Experience in healthcare analytics or bioinformatics
• Background in healthcare data compliance (HIPAA) and privacy standards
• Advanced expertise in machine learning, data visualization, and statistical analysis