Staff Data Scientist (Product Analytics)

Function

United States

On-site

USD 150,000 - 210,000

Full time

14 days+

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Benefits offered by this job

401k Match
Health Insurance
Choose your own holidays

Job summary

Function is hiring a Staff Data Scientist, Product Analytics to build the analytical and modeling foundation for our team.

The role sits at the intersection of data science, analytics, customer support operations, and product metrics, enabling proactive data-driven decisions across the member journey and health domains.

Qualifications

  • Degree in data science, biostatistics, CS or related field.
  • Ability to translate complex findings for non-technical stakeholders.
  • Proficiency in Python, SQL and data visualization tools.
  • Experience with generative AI to accelerate projects.
  • Experience with GCP and Databricks.
  • Background in healthcare analytics or bioinformatics.
  • HIPAA privacy and data compliance knowledge.
  • Advanced ML, data viz and statistical analysis expertise.
  • 8+ years of data science/analytics experience at tech companies.

Responsibilities

  • Develop measurement frameworks and north star metrics for cross-team decisioning.
  • Perform strategic analyses to identify and prioritize product and business initiatives.
  • Develop heuristic, predictive or ML models and data products for the business.
  • Drive self-service analytics through documentation, training and education.
  • Ensure data quality, security and compliance across analytics frameworks.

Skills

Python
SQL
Data Visualization
Generative AI tools
Machine Learning
Statistical Analysis
Healthcare analytics

Education

Degree in Data Science, Biostatistics, Computer Science

Tools

GCP
Databricks

Job description

  • 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
  • 401k Match
  • Health Insurance
  • Choose your own holidays
Requirements
  • 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
  • 8+ years of experience in data science or analytics at consumer or Enterprise tech companies
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