GoodRx is the leading prescription savings platform in the U.S. Trusted by more than 25 million consumers and 750,000 healthcare professionals annually, GoodRx provides access to savings and affordability options for generic and brand-name medications at more than 70,000 pharmacies nationwide, as well as comprehensive healthcare research and information. Since 2011, GoodRx has helped consumers save nearly $75 billion on the cost of their prescriptions.
Our goal is to help Americans find convenient and affordable healthcare. We offer solutions for consumers, employers, health plans, and anyone else who shares our desire to provide affordable prescriptions to all Americans.
About the Role
GoodRx is looking for a self-driven and motivated Lead Data Scientist who brings diversity and adds new perspectives to our growing team. We are seeking someone with the curiosity to discover questions and subsequently answer them. This individual will have a deep understanding of machine learning and statistical modeling with strong communication skills. If you join us, you will be a lead technical contributor on advanced pricing projects across product and marketing.
Responsibilities:
- Lead data science projects around consumer pricing, incentives & offers, and insurance.
- Provide mentorship to peers and advise stakeholders looking to ensure technical rigor.
- Build state-of-the-art forecasting, bidding, and optimization systems that directly affect prices shown to customers and partners.
- Support the technical roadmap and introduce new capabilities that help the team level up.
Skills & Qualifications:
- 6+ years of work experience in data science with significant business impact through end-to-end model deployment; ecommerce/healthcare pricing experience preferred.
- Proven track record of technical contribution within career field; open source contributions, publications, intellectual property/patents, etc. preferred.
- Undergraduate degree (or equivalent industry experience) in a quantitative field; advanced degree in data science, machine learning, or operations research preferred.
- Strong first principles understanding of common machine learning algorithms (e.g., clustering, tree/forest techniques, OLS, linear/non-linear optimization, etc.).
- Fluency in Python and relevant libraries (pandas, pyspark, numpy, etc.).
- Enterprise experience with Amazon Web Services (AWS) and DataBricks.
At GoodRx, pay ranges are determined based on work locations and may vary based on where the successful candidate is hired. The pay ranges below are shown as a guideline, and the successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, and other relevant business and organizational factors.
San Francisco and Seattle Offices:
$180,000.00 - $288,000.00
New York Office:
$165,000.00 - $264,000.00
Santa Monica Office:
$150,000.00 - $240,000.00
Other Office Locations:
$135,000.00 - $216,000.00
GoodRx also offers additional compensation programs such as annual cash bonuses and annual equity grants for most positions as well as generous benefits. Our great benefits offerings include medical, dental, and vision insurance, 401(k) with a company match, an ESPP, unlimited vacation, 13 paid holidays, and 72 hours of sick leave.
We’re committed to growing and empowering a more inclusive community within our company and industry. That’s why we hire and cultivate diverse teams of the best and brightest from all backgrounds, experiences, and perspectives.
GoodRx is committed to providing reasonable accommodations for candidates with disabilities during our recruiting process. If you need any assistance or accommodations due to a disability, please reach out to us at
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