Senior Data Scientist - People Analytics and Workforce Operations

About Equip 

Equip is the leading virtual, evidence-based eating disorder treatment program on a mission to ensure that everyone with an eating disorder can access treatment that works. Created by clinical experts in the field and people with lived experience, Equip builds upon evidence-based treatments to empower individuals to reach lasting recovery. All Equip patients receive a dedicated care team, including a therapist, dietitian, physician, and peer and family mentor. The company operates in all 50 states and is partnered with most major health insurance plans. Learn more about our strong outcomes and treatment approach at www.equip.health.

Founded in 2019, Equip has been a fully virtual company since its inception and is proud of the highly-engaged, passionate, and diverse Equisters that have created Equip’s culture.  Recognized by Time as one of the most influential companies of 2023, along with awards from Linkedin and Lattice, we are grateful to Equipsters for building a sustainable treatment program that has served thousands of patients and families.

About the role

This Senior Data Scientist 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 Senior Data Scientist 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.

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.

Qualifications

• Bachelors or Masters degree in statistics, data science, or related field.

• 5+ 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