Staff Data Scientist (Growth)

What You’ll Accomplish

• Collaborate with Growth Marketers and Channel Leads on growth channels to develop measurement frameworks, drive new user acquisition, onboarding, renewals through deep dive analysis, experimentation, model development (attribution, cost curves).
• Work on channel optimization of company acquisition and strategy to drive renewals and identify the value of investments from a conversion and Customer Acquisition Cost (CAC) efficiency perspective.
• Develop measurement frameworks and self-serve performance analyses dashboards for online and offline growth channels.
• Develop channel attribution, build algorithms to predict lifetime value (LTV), predictive, segmentation, and cost optimization models.
• Lead growth channel experimentation, including developing and evaluating hypotheses for channel optimization and efficiency, and incrementality testing.
• Build out an in-house A/B testing platform and explore vendor options to facilitate automated experimentation.
• Develop, validate and implement descriptive and predictive models using statistical and machine learning algorithms.
• Liaise with Data Engineers to build growth data models and ensure accurate ingestion and transformation of large datasets.
• Mentor junior data scientists.
• Identify/explain root causes of business performance and work with Growth leadership team and channel owners to develop actions to accelerate growth.
• Utilize Business Intelligence/visualization tools (such as Tableau, Mode Analytics, or Looker), Query-based analysis/data analytics, Analytical software tools (such as SQL), data quality assurance.

Basic Qualifications

• Master’s degree or equivalent in Data Science, Computer Science, Economics, Mathematics or related and three (3) years of experience as a Data Scientist or related. 
• Alternatively, the employer will accept a Bachelor's degree or equivalent and five (5) years of progressive experience as a Data Scientist or related. 
• Three (3) years of experience must include utilizing Business Intelligence/visualization tools (such as Tableau, Mode Analytics, or Looker), Query-based analysis/data analytics, Analytical software tools (such as SQL), data quality assurance. 

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 $194,834 to $229,824.

About Hinge Health

At Hinge Health, we’re using technology to scale and automate the delivery of healthcare – starting with musculoskeletal (MSK) conditions, which affect over 1.7 billion people worldwide. With an AI-powered human-centered care model, Hinge Health leverages cutting-edge technology to improve outcomes, experiences and costs to help people move beyond their pain. The platform addresses a broad spectrum of MSK care – from acute injury, to chronic pain, to post-surgical rehabilitation – through personalized, evidence-based care. 

As the preferred partner to 50+ health plans, PBMs and other ecosystem partners, Hinge Health is available to over 20 million people across more than 2,550 employers. The company is headquartered in San Francisco with additional offices in Montreal and Bangalore. 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
• Grow with us through discounted company stock through our ESPP with easy payroll deductions.

Culture & Engagement

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.

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