Key Responsibilities

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.

Qualifications/Skills

Must have:

Degree in Data Science, Biostatistics, Computer Science, or a relative quantitative field.
5+ years of experience in data science or analytics at consumer or Enterprise tech companies.
Proficiency in Python, SQL, and data visualization tools.
Ability to communicate complex findings to non-technical stakeholders.
Experience using generative AI tools to accelerate project development.

Nice to have:

Domain/data experience working with Operations (Customer experience measurement, Customer issue tracking/modeling, Demand forecasting).
Experience with GCP (Google Cloud Platform) and Databricks.
Experience with customer support tools like Intercom, Zendesk, or similar.
Experience in healthcare analytics or bioinformatics.
Advanced expertise in machine learning, data visualization, and statistical analysis.
Background in healthcare data compliance (HIPAA) and privacy standards.