Senior Data Science Engineer, AI
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Job Description
Senior Data Science Engineer developing data solutions for healthcare financial transparency. Collaborating with interdisciplinary teams to build scalable data systems.
Responsibilities:
- Work cross-functionally with Product and subject matter experts to conceptualize, prototype, and build data solutions
- Connect disparate datasets (e.g. claims, contract rates, demographics data) to empower internal and external stakeholders
- Build and maintain data engineering systems that support AI use cases, including scalable ingestion pipelines, feature generation, and downstream products
- Contribute to building, maintaining, and testing data pipelines
- Draft internal and external technical documentation
- Seek and prioritize technical and product feedback from internal customers
- Iterate quickly with an eye towards value
Requirements:
- 5+ years of experience developing data models, pipelines, and end-to-end analytical solutions using Python and SQL
- Strong grasp of data architecture and engineering practices, including ETL/ELT workflows, orchestration tools (e.g., Airflow, dbt), and cloud-based storage (e.g., S3, Redshift)
- Experience building and operating production-grade data pipelines that support AI and LLM-powered applications
- 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. You can problem solve independently
- Comfortable working remotely in a collaborative, technical team
- Bachelor’s degree, or equivalent experience/knowledge. We are happy to work with strong candidates with non-traditional educational backgrounds
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 biannual in-person company summits
- 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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