Data Scientist II - Workforce Operations

Equip Health

69d

About The Position

This Data Scientist II will be responsible for building and operationalizing statistical models, ML/AI solutions, and interactive dashboards to support strategic workforce planning and operational decision-making in the telehealth space. This role focuses on using data science to optimize workforce resource allocation, capacity planning, and forecasting across a variety of business domains at Equip. You will help develop and implement data-driven solutions to problems such as optimizing clinical staffing, predicting employee attrition, and proactively identifying shortages and gaps in various resources. The data scientist will partner with the Operations, People, and Finance teams to translate business needs into actionable insights and analytic solutions. As part of the Data and Insights team, the Data Scientist II will collaborate with a diverse group of data scientists, analysts, engineers, and product managers to work on exciting projects and contribute to the growth of Equip.

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.

Responsibilities

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 251-500 employees