turquoise-health - Data Science Engineer, Analytics
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Requirements
• Experience with b2b healthcare product analytics • Experience applying quantitative methods (regression, causal inference) to product or business questions • Thoughtful use of AI coding agents and LLMs in development workflows
Responsibilities
• Partner cross-functionally with Product, Engineering, and business stakeholders to define metrics, measure outcomes, and evaluate impact • Build and maintain data pipelines, data models, dashboards, and analytical infrastructure that support product, operational, and strategic decision-making • Conduct analyses to understand product adoption, customer engagement, business performance, and operational efficiency • Contribute to the development of analytics best practices, shared datasets, and company-wide metrics • Seek and act on feedback from internal stakeholders; iterate quickly with an eye toward value
Benefits
• Competitive pay with equity options • Stellar health care plan options (Medical, Dental & Vision), with FSA, DCFSA, & HSA options • Company-sponsored disability & life insurance • Unlimited PTO • 401(k) + 4% Matching • Fully remote work + flexible working hours • $750 work-from-home setup budget • Paid bi-annual in-person company gatherings • Quarterly $150 co-hanging stipend to meet up with coworkers • Monthly $100 health and wellness benefit • Generous paid family leave • Annual $1,200 learning & development stipend
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