This role is for a data scientist who wants their models to drive real operational decisions, not sit in a slide deck. You’ll build forecasting and optimization tools that help Equip staff smarter, plan capacity, and spot gaps before they impact patient care.
About Equip Health
Equip is a fully virtual, evidence-based eating disorder treatment program built by clinical experts and people with lived experience. Patients receive a dedicated care team, and Equip operates in all 50 states while partnering with most major insurance plans. Their mission is to make treatment that works accessible for everyone who needs it.
Schedule
- Full-time, 100% remote (USA)
- Salary: $137K–$171K (bonus eligible)
- No travel required
What You’ll Do
- Build and deploy models for workforce demand forecasting, capacity planning, and resource optimization
- Implement workforce allocation algorithms to improve staffing efficiency and resource distribution
- Develop predictive and descriptive models using statistics, machine learning, and AI/LLMs
- Create dashboards and visualizations to support workforce operations and strategic planning
- Clean, transform, and optimize data for analysis and modeling
- Monitor model performance and data quality, implementing processes to ensure reliability and consistency
- Use CI/CD pipelines and APIs to operationalize models into target environments
- Partner with Operations, People, and Finance to translate business needs into actionable analytics
- Present insights and model outputs to stakeholders clearly and effectively
- Support additional projects and duties as assigned
What You Need
- Bachelor’s or Master’s degree in statistics, data science, or a related field
- 5+ years of experience in data science, machine learning, or applied statistics
- Strong knowledge of statistics (hypothesis testing, regression, A/B testing) and ML methods (time series forecasting, supervised/unsupervised learning, etc.)
- Proficiency in Python (pandas, numpy, scikit-learn, etc.) and SQL for extraction, prep, analysis, and modeling
- Experience with workforce optimization, workforce planning, or HR analytics
- Experience building dashboards in tools like Power BI or Tableau
- Strong engineering habits: clear, maintainable, testable code and experience with Git/GitHub
- Independent, organized, solution-driven, and comfortable in a fast-changing environment
Benefits
- Flex PTO (3–5 weeks/year recommended) plus 11 paid company holidays
- Medical, Dental, Vision, Life, and AD&D insurance
- Strong employer contributions to premiums for individuals and families
- Maven reproductive and family care benefit
- Employee Assistance Program (EAP) for mental health, legal, and financial support
- $50/month work-from-home internet stipend
- One-time work-from-home stipend up to $500
If you’re ready to build forecasting and optimization that actually gets used, apply while it’s open.
Bring the models and the operational mindset. Equip will bring the mission.
Happy Hunting,
~Two Chicks…