About the Role
You will join our Data Science team as Senior Data Scientist in the Growth organization. You will work closely with Growth Marketers and channel leads in using growth channels to drive new user acquisition, onboarding, and early lifecycle retention through deep dive analysis, experimentation, and model development [attribution, cost curves]. More specifically, you will help us with channel optimization of our core deployments, email and mailer, help us understand the value of investments from a conversion and CAC efficiency perspective.

What You’ll Accomplish

• Developing measurement frameworks for our growth channels

• Standing up self-serve performance analysis dashboard for core channels

• Developing hypotheses for channel optimization and efficiency, user growth, and leading growth channel experimentation

• Explaining root causes of business performance and working with Growth Marketers to develop actions to accelerate growth

• Working with Data Engineers to build growth data models and ensure accurate / efficient ingestion / transformation of required datasets

• Building out Hinge Health’s channel attribution model and cost optimization functions

Hinge Health Hybrid Model

We believe that remote work and in-person work have their own advantages and disadvantages, and we want to be able to leverage the best of both worlds. Employees in hybrid roles are required to be in the office 3 days per week, for the full 8 hours of a typical business day. The San Francisco office has a dog-friendly workplace program.

Basic Qualifications

• Bachelor’s Degree (or equivalent) in Computer Science, Economics, Mathematics or related technical field

• 6+ years experience working with large datasets to solve business and technology problems

• Experience working in Growth on problems like attribution, channel performance optimization, CAC optimization, and experimentation

• Experience working with scientific computing languages (R / Python) and SQL

• Experience with BI/visualization tools like Mode Analytics

• Experience in model development, validation and implementation

Preferred Qualifications

• Knowledge of time series, statistics, and / or machine learning

Compensation

This position will have an annual salary, plus equity and benefits. Please note the annual salary range is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. The annual salary range for this position is $152,000-$228,000.

About Hinge Health

Hinge Health leverages software, including AI, to largely automate care for joint and muscle health, delivering an outstanding member experience, improved member outcomes, and cost reductions for its clients. The company has designed its platform to address a broad spectrum of MSK care—from acute injury, to chronic pain, to post-surgical rehabilitation—and the platform can help to ease members’ pain, improve their function, and reduce their need for surgeries, all while driving health equity by allowing members to engage in their exercise therapy sessions from anywhere. The company is headquartered in San Francisco, California.

Learn more at http://www.hingehealth.com

What You'll Love About Us

• Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live.

• Planning for the future: Start saving for the future with our traditional or Roth 401k retirement plan options which include a 2% company match.

• Modern life stipends: Manage your own learning and development

Diversity and Inclusion

Hinge Health is an equal opportunity employer and prohibits discrimination and harassment of any kind. 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. We provide reasonable accommodations for candidates with disabilities. If you feel you need assistance or an accommodation due to a disability, let us know by reaching out to your recruiter.

By submitting your application you are acknowledging we are using your personal data as outlined in the personnel and candidate privacy policy