Data Science Engineer, Analytics
About The Position
This is a fully remote role within the United States. We’re looking for a driven, entrepreneurial Data Science Engineer to join our team and help eliminate the financial complexity of healthcare. You'll join our Data Science Engineering team supporting analytics, partnering closely with Product, Engineering, and business stakeholders to help Turquoise grow and scale our impact by making better decisions with data. From defining product metrics and measuring customer engagement to enabling self-service analytics and evaluating business initiatives, you'll build the datasets, pipelines, dashboards, and analyses that transform data into actionable insights across the company.
Requirements
- Bachelor's degree or equivalent experience. Non-traditional backgrounds welcome
- 2+ years developing data models, pipelines, and end-to-end analytical solutions in Python and SQL. Comfortable with OOP and functional patterns, code organization beyond scripts, and debugging workflows
- Experience with dataframe libraries (pandas, polars)
- Experience with ETL/ELT workflows and orchestration (Airflow, dbt)
- Comfort with cloud services (AWS S3, EC2, RDS)
- Ability to design data systems with scalability, performance, and cost efficiency in mind, particularly for compute- and data-intensive workloads
- Entrepreneurial mindset: you prioritize tasks with an eye for evolving business needs
- Comfortable working remotely in a collaborative, technical team
Nice To Haves
- 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
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
