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Hinge Health

is looking for a

Senior Data Scientist, Forecasting (Remote)

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United States

Hinge Health is building the world’s most patient-centered Digital Musculoskeletal (MSK) Clinic™. It is now the leading Digital MSK Clinic, used by four in five employers and 90% of health plans with a digital MSK solution. Hinge Health reduces MSK pain, surgeries, and opioid use by pairing advanced wearable sensors and computer vision technology with a comprehensive clinical care team of physical therapists, physicians, and board-certified health coaches. 

Hinge Health’s HingeConnect integrates with 750,000+ in-person providers and enables real-time interventions for elective MSK surgeries, driving proven medical claims reduction. Available to millions of members, Hinge Health is widely trusted by leading organizations, including Land O’Lakes, L.L. Bean, Salesforce, Self-Insured Schools of California, Southern Company, State of New Jersey, US Foods, and Verizon. 

To Learn more  about our company & culture please visit: &

You'll play a key role as the Data Science member for our demand planning team where you will be the owner of the development, maintenance, testing, and reporting of our forecast for Hinge Health ‘new members’. You will work closely with our Finance team and be responsible for reporting results to our senior leadership.You will be a highly-visible, trusted partner to many of our most important decision makers, including Growth, Finance, BizOps, and Coaching Operations. This is a fantastic opportunity to join our fast-growing Data team and shape how Hinge Health puts its data to use.

  • Own the development, maintenance, testing and reporting of HH’s ‘new member’ forecasting models and assess their revenue implications
  • Determine, set, and track quarterly business goals 
  • Leverage large sets of complex data to build hypotheses that generate growth initiatives and business case development
  • Efficiently communicate complex data insights and recommendations to business and technical audiences, as well as senior leadership
  • Collaborate with diverse stakeholders on both quantitative and qualitative forecast input parameters across Finance, Growth Marketing, BizOps, and Coach Ops
  • Develop the required documentation to build the long-term foundation of our forecasting and demand planning function

  • 5+ years experience working with large datasets to solve business and technology problems, including 23+ years developing machine learning or statistical models
  • Proficiency working with scientific computing languages (R / Python) and SQL; prior experience with BI/visualization tools (Tableau, Mode Analytics) a must
  • Strong knowledge of time series, statistics, and / or machine learning
  • Expertise in model development, validation and implementation
  • The ability to communicate results clearly and a focus on driving impact
  • Ability to work autonomously and with minimal guidance

  • #LI-JJ1

    Pursuant to State Fair Pay Act, below is a summary of compensation elements for this role at the company if based in the following locations:

    Colorado & New York State annual salary: $103,656 - $155,484
    New York City annual salary: $123,400 - $185,100


    We want to make you aware that there continues to be a significant increase in phishing attempts across all industries where fraudsters are impersonating real HR employees and sending fictitious job offers to applications in a scheme to obtain sensitive information.

    Please note that we will never ask for your financial information at any part of the interview process including the post-offer stage, and will only correspond through domain email addresses.

    If you encounter any suspicious activity, we recommend you cease all communication with the individual and consider reporting them to the US FBI Internet Crime Complaint Center.

    If you would like to verify the legitimacy of an email you received from our recruiting team, please forward it to

    If you're interested - we'd love to hear from you. No recruiters, please.

    Hinge Health is proud to be an Equal Employment Opportunity employer.
    We make employment decisions without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability status, pregnancy, or any other basis protected by federal, state or local law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

    Hinge Health is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you feel you need assistance or an accommodation due to a disability, please let us know by reaching out to your Recruiter and we'll work with our accommodations team to evaluate your request.

    We celebrate diversity and are committed to creating an inclusive environment for all employees.

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