Lead Data Science Product Manager
Health Care Service Corporation
Senior Software Engineer, AI/ML Product Analytics
Bayesian Health
full-time
Posted on:
Location: 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
AWSCloudPythonSQLTableau
About the role
- Early-stage startup on a mission to make healthcare proactive by empowering clinicians with real-time data to save lives.
- Lead development of clinical AI/ML product analytics infrastructure, frameworks, and tools to enable client success, product, clinical, and technology teams to uplevel decision making.
- Work closely with client success, product managers, clinicians, data scientists, and software engineers to build infrastructure, frameworks, and tools to improve client analytics and support product investigation.
- Implement infrastructure, queries, and automation to monitor KPIs and success metrics of products across multiple clinical domains and clients.
- Build frameworks and tools to empower clinical teams to review and investigate clinical cases reported by clients.
- Propose and implement foundational improvements to boost data platform scalability and analytics capabilities.
- Drive product analytics development cross-functionally and align Client Success, Clinical, Product, Data Science, and Engineering.
Requirements
- BS in Computer Science or other relevant technical discipline.
- 5+ years of experience in building scalable, secure analytics infrastructure and tools on a cloud platform (preferably AWS) to produce monitoring metrics and investigational data from complex data models and queries for live products and customers.
- Proficient in Python and SQL.
- Deep knowledge in modern data and analytics technologies, such as cloud-based data warehouses, transformation frameworks (e.g. dbt), workflow orchestration tools, and BI tools like Tableau or Quicksight.
- Experience working with sensitive data that contains PHI/PII.
- Excellent communication skills and a proven ability to collaborate with cross-functional teams (data science, product, clinical) to translate requirements into robust technical solutions.
- (Preferred) Experience in leveraging LLMs in distributed data processing and analytics systems.
- (Preferred) Experience building analytics technology for clinical/health data.
- (Preferred) Experience handling ambiguity and uncertainty in a startup environment.
