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About the Role
Applied Data Scientists at Vi Engage integrate predictive models into the daily operations of leading health systems and health plans, driving improvements in care navigation and specialty capture. This hands-on role involves owning the end-to-end technical relationship for 3-5 enterprise healthcare accounts, from data integration and pilot design to building automated production pipelines and ensuring ongoing operational success. You will collaborate directly with customer stakeholders to understand their KPIs and leverage Vi's platform to achieve them, while also contributing field insights to shape the product roadmap.
Responsibilities
- Own the pipeline for data integration, including ingestion, mapping, quality, and data limitations.
- Design pilot studies that link model performance to measurable business outcomes.
- Build and maintain automated production pipelines for training, scoring, and delivering ML insights.
- Serve as the technical authority for customer onboarding and ongoing operations, addressing ad-hoc data and reporting needs.
- Synthesize common patterns across customer accounts into high-leverage requirements to improve platform efficiency.
Requirements
- Demonstrated ability to design and execute experimental studies with clear commercial impact and defend the methodology to stakeholders.
- Deep understanding of data science principles, including model evaluation and knowing when simpler approaches are appropriate.
- Proficiency in Python and the ML engineering stack (pandas, sklearn, airflow) for shipping production code.
- Experience building distributed data and ML pipelines on Spark with large, complex datasets.
- Strong client-facing communication skills to translate business problems into data solutions and manage expectations with clinical, IT, and analytics leaders.
- An ownership instinct, proactively identifying and resolving issues for client accounts.
- Willingness to travel occasionally to client sites.
Skills
- Python
- pandas
- sklearn
- airflow
- PySpark
- ML engineering
- Experimental design
- Data integration
- Pipeline automation
- Client-facing communication
Location
- Remote
- Onsite (occasional travel)
Work Type
- Full-time
- Hands-on
Experience Level
- Mid-level
- Senior
About the Company
- Vi Engage deploys predictive models into the daily operations of the largest health systems and health plans in the country.
- The company focuses on driving improvements in care navigation, specialty capture, and related workflows.