Data Scientist, Equip Health
People Analytics & Workforce Operations
$118-148k
Offers Bonus
No requirement to travel
Virtual treatment program for eating disorders
Be an early applicant
Virtual treatment program for eating disorders
501-1000 employees
Be an early applicant
$118-148k
Offers Bonus
No requirement to travel
501-1000 employees
Company mission
To provide eating disorder treatment that works to everyone who needs it.
Role
Who you are
- 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
- This is a stationary position that requires the ability to operate standard office equipment and keyboards as well as to talk or hear by telephone. Sit or stand as needed
What the job involves
- 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
- 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
Our take
Eating disorders are common in the United States. Roughly 9% of the population, or 28.8 million people, will have an eating disorder in their lifetime. However, long waiting lists and one-size-fits-all approaches that usually do not involve the patient's support network lead to many people suffering without the help they need.
Equip Health provides virtual treatment programs for people with eating disorders, leading treatments with virtual five-person care teams consisting of a therapist, physician, peer mentor, family mentor and dietitian. The family mentor represents the company's Family Based Treatment method, which is designed to empower families to help loved ones overcome their eating disorders.
By holding all sessions virtually and including the family of the patient in their recovery, the company can increase accessibility to eating disorder treatment, reduce its cost, and help more people recover. The value of this proposition has seen Equip Health raise substantial funding, the latest of which is being channelled into expansion of the platform.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
56% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Jul 2025
$46.7m
LATE VC
Apr 2024
$35m
SERIES C
Total funding: $156.4m
Company benefits
- Work in ways that work for you - Flexible PTO & work hours
- Work from home – or close to it - Co-working space stipends
- Comfortably WFH - Home office tech stipend
- Take care of yourself and your most important people - 12 weeks of paid parental leave, short term & long-term disability
- Healthcare and more - Medical, Vision, Dental, HSA & FSA
- We invest in you - 401k program starting day 1
- Open feedback in every direction - Regular coffee with co-founders and ongoing 360 feedback
Company HQ
Carlsbad Village, Carlsbad, CA
Leadership
Kristina Saffran
(Co-Founder & CEO)Co-founder and CEO of Project HEAL: Help to Eat, Accept and Live, from 2008 to 2019. Was also a Mental Health Advisory Board Member for Verily Life Sciences for 2 years.
Erin Parks, Ph.D
(Co-Founder & Chief Clinical Officer)Experience as Manager of the Pediatric Clinic for Eating Disorders at UC San Diego Health, where they are an Assistant Professor. Also Founding Operator of the Coalition Network.
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