Sevita is looking to transform how they plan, staff, and deliver care using data, specifically by building predictive models to drive critical workforce and capacity decisions across HR, Operations, and Finance.
Requirements
- Deep Python expertise (e.g., pandas, scikit-learn, XGBoost)
- Strong SQL skills and experience with cloud data platforms (Snowflake preferred)
- Track record of deploying models to production environments (Snowpark, Databricks, or similar)
- Experience in at least one of the following: forecasting, workforce optimization, or people analytics
- Strong communication skills and a collaborative mindset
Responsibilities
- Forecasting: Model service demand across programs, geographies, and time horizons.
- Staffing Optimization: Build and deploy models that align labor to real-time and projected needs.
- Workforce Planning: Predict attrition, hiring needs, and headcount shifts to support long-term planning.
- Anomaly Detection: Surface emerging risks and operational outliers through automated monitoring.
- Model Deployment: Use dbt and Snowflake to build feature-ready pipelines and production scoring logic.
- Lifecycle Ownership: Monitor model performance, manage retraining cycles, and address data quality issues.
- Governance & Communication: Document model logic, assumptions, and limitations for technical and non-technical audiences.
Other
- 5+ years in applied data science or ML engineering roles
- Cross-Functional Collaboration: Work closely with analysts, data engineers, and business leaders to integrate models into workflows, dashboards, and planning processes.
- As an equal opportunity employer, we do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, citizenship, or any other characteristic protected by law.
- Strong communication skills and a collaborative mindset
