Equip
Healthcare Insurance • Wellness
Equip is a healthcare company that specializes in virtual, evidence-based treatment for eating disorders. They offer a comprehensive support system with a 5-person care team that includes therapists, dietitians, medical providers, family mentors, and peer mentors. Equip focuses on providing accessible and sustainable recovery solutions for all ages across the United States, utilizing a model that integrates medical, psychological, and dietary support. Their approach is designed to work within the schedules of busy families, enabling recovery through a family-based virtual treatment model.
Data Scientist II – Workforce Operations
October 16
🇺🇸 United States – Remote
💵 $118k - $148k / year
⏰ Full Time
🟢 Junior
🟡 Mid-level
📊 Data Scientist
🦅 H1B Visa Sponsor
Equip
Healthcare Insurance • Wellness
Equip is a healthcare company that specializes in virtual, evidence-based treatment for eating disorders. They offer a comprehensive support system with a 5-person care team that includes therapists, dietitians, medical providers, family mentors, and peer mentors. Equip focuses on providing accessible and sustainable recovery solutions for all ages across the United States, utilizing a model that integrates medical, psychological, and dietary support. Their approach is designed to work within the schedules of busy families, enabling recovery through a family-based virtual treatment model.
📋 Description
• Develop and deploy analytic models for workforce demand forecasting, resource optimization, and capacity planning. • Implement workforce allocation algorithms to optimize staffing and resource allocation. • Design and develop models/algorithms based on predictive/descriptive statistical modeling, machine learning, and LLMs/AI to glean insights from large datasets. • Continuously monitor and implement data quality processes to ensure accuracy, consistency, and reliability. • Clean, transform, and optimize data for analysis. • Utilize CI/CD pipelines and APIs to deploy models and algorithms to target environments. • Work with cross-functional teams to understand needs and identify how data science can support operational, workforce planning, and business goals. • Perform analyses, visualize data, and present data science work to stakeholders. • Perform other duties as assigned.
🎯 Requirements
• Bachelors or Masters degree in statistics, data science, or related field. • 2-4+ years of demonstrated work experience in data science, machine learning, or statistics. • Strong theoretical and practical understanding of statistical analyses (e.g., hypothesis testing, regression, A/B testing), machine learning techniques (e.g., time series forecasting, supervised/unsupervised learning, etc.) and large language/AI models. • Proficient in Python (pandas, numpy, scikit-learn, etc.) and SQL for data extraction, modeling, preparation, analysis, and model building. • Experience in workforce optimization, workforce planning, or HR analytics. • Experience using data visualization software (e.g., Power BI, Tableau) for report creation and dashboard design. • Ability to write clear, maintainable, extensible, and testable code. • Experience with Git / GitHub. • Independent, organized, and solutions-driven. • Comfortable in a fast-paced environment that is subject to rapid change and innovation.
🏖️ Benefits
• Flex PTO policy (3-5 wks/year recommended) + 11 paid company holidays. • Competitive Medical, Dental, Vision, Life, and AD&D insurance. • Equip pays for a significant percentage of benefits premiums for individuals and families. • Maven, a company paid reproductive and family care benefit for all employees. • Employee Assistance Program (EAP), a company paid resource for mental health, legal services, financial support, and more! • $50/month stipend added directly to an employee’s paycheck to cover home internet expenses. • One-time work from home stipend of up to $500.
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