Data Scientist II

Hinge Health; San Francisco (CA); Hybrid; USD 124,000 - 186,000; Full time

Job summary

A leading health tech company is seeking a Data Scientist II to enhance user engagement through data-driven strategies. The role involves optimizing communications, building data models, and collaborating with various teams to improve user outcomes. The ideal candidate will have experience in product analytics and machine learning, focusing on personalized user experiences. This hybrid position requires in-office work three days a week in San Francisco, offering a competitive salary and benefits.

Qualifications

• 2+ years of experience as a Data Scientist or in a related role.
• Experience with building and automating reports and dashboards.

Responsibilities

• Optimize and personalize post-enrollment member communications.
• Design, execute, and analyze experiments to improve user outcomes.
• Develop and maintain data models to evaluate communication effectiveness.

Skills

Product Analytics

Machine Learning

Data Modeling

Statistical Analysis

Data Visualization

Education

Bachelor’s degree in a relevant field

Tools

Python

SQL

Mode

Tableau

AWS

Databricks

Airflow

Job description

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About The Role

At Hinge Health, we are committed to improving the user experience and engagement across our health programs. As part of our product team, you’ll focus on optimizing post-enrollment communications to help drive user engagement, adherence, and overall success. These communications span multiple channels, including email, SMS, notifications, and interactions with our care team (Physical Therapists, Coaches, etc.).

We are seeking a Product Data Scientist to join our Data Science team and work on proactive analysis and experimentation to inform the strategy behind our communications efforts. This role will include building and owning data models, setting metrics, and working across teams to improve how we engage users and help them stick with their treatment plans.

The ideal candidate will be passionate about driving better user outcomes through data and technology and will have experience in product analytics and ML within a user engagement or communications context. You’ll be key in optimizing communications for a personalized, timely, and effective experience for our members.

Our stack: Python, SQL, dbt, Mode, Databricks, Airflow, Statsig, AWS

What You’ll Accomplish

• Work with product, engineering, and care teams to optimize and personalize post-enrollment member communications, driving higher user engagement and adherence.
• Design, execute, and analyze experiments to improve user outcomes and the overall product experience.
• Develop and maintain data models to evaluate and improve the effectiveness of communication channels (email, SMS, notifications) in terms of user response, engagement, and retention.
• Set up and monitor key product metrics (e.g., user engagement, message open rates, conversion to next milestones) to assess the impact of communications on user behavior and outcomes.
• Apply machine learning and statistical models to understand and predict user behavior based on past engagement patterns, and use these insights to personalize communication strategies.
• Build and deploy anomaly detection systems to identify when communications are underperforming or when there are issues in user engagement.
• Collaborate with stakeholders across teams (Product, Marketing, Care Team) to define actionable data insights that guide the design of effective messaging strategies.
• Develop self-service tools and dashboards for stakeholders to easily access insights and track the performance of communications campaigns.
• Contribute to the creation and optimization of communication content by understanding user response trends, ensuring messages are relevant, timely, and motivating for users.
• Drive improvements in data quality, ensuring robust taxonomy and data models that support long-term communications optimization efforts.

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

• 2+ years of experience as a Data Scientist or in a related role focused on product analytics and machine learning.
• 2+ years of experience with Python and SQL, with the ability to transform complex data into actionable insights.
• Experience with building and automating reports and dashboards for non-technical stakeholders using tools like Mode, Tableau, or similar.
• Experience with productionalizing data models/ETL.

Preferred Qualifications

• Bachelor’s degree in a relevant field (Data Science, Computer Science, Statistics, Engineering, Marketing, etc.)
• Experience in user engagement, communications optimization, or health tech products.
• Experience working with communication platforms or marketing automation tools (e.g., Braze, Iterable, or similar).
• Familiarity with cloud-based technologies like AWS, Databricks, or Airflow.
• Knowledge of healthcare or wellness industries and understanding of how digital health interventions can impact user engagement.

Compensation

This position offers an annual salary, plus equity and benefits. The salary range is $124,000-$186,000, with individual compensation depending on qualifications, skills, and location.

About Hinge Health

Hinge Health leverages software, including AI, to automate care for joint and muscle health, delivering improved outcomes and cost reductions. The platform addresses a broad spectrum of MSK care, helping members engage in exercise therapy from anywhere, aiming to ease pain, improve function, and reduce surgeries, while promoting health equity. Headquartered in San Francisco, CA.

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