Senior Data Scientist II
Santa Monica, CA / San Francisco, CA
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.
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. We believe that true innovation happens when everyone has a seat at the table and the tools, resources, and opportunities to excel.
With that said, research shows that women and other underrepresented groups apply only if they meet 100% of the criteria. GoodRx is committed to leveling the playing field, and we encourage women, people of color, those in the LGBTQ+ communities, and Veterans to apply for positions even if they don’t necessarily check every box outlined in the job description. Please still get in touch - we’d love to connect and see if you could be good for the role!
GoodRx is looking for self-driven and motivated Senior Data Scientists who bring diversity and add 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 statistical modeling, a solid mathematical foundation, and strong communication skills. If you join us, you will be a key technical contributor on advanced projects across product and marketing in areas such as customer retention, engagement, recommendation systems, and pricing.
Responsibilities
- Be a primary technical contributor on data science projects around pricing and product growth
- Provide mentorship to peers and advise stakeholders looking to ensure rigor
- Collaborate with product to translate business needs into suitable models that improve our interactions with our customer base
- Build state-of-the-art forecasting, prediction, and recommendation systems that generate insights around user behavior, product utilization, and audience segmentation
Skills and Qualifications
- 5+ years of work experience in data science with significant business value contributed through end-to-end model deployment; ecommerce/healthcare experience preferred
- Master’s degree in a quantitative field or equivalent exposure; advanced degree with relevance to data science, machine learning, or operations research and publication/conference exposure a plus
- 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, numpy, etc.), Enterprise experience with RedShift/BigQuery, Spark, and Amazon Web Services (AWS)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS BigQuery Clustering E-commerce Excel Machine Learning Model deployment NumPy Pandas Python Redshift Research Spark Statistical modeling Statistics
Perks/benefits: Career development Health care
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