Data Scientist
Santa Monica, 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!
About the RoleGoodRx is looking for a Data Scientist to join our data team. Our ideal candidate is a team player, a curious, relentless learner who’s ready to take on new challenges and deliver value in a dynamic environment. This individual will have a solid mathematical foundation, a deep understanding of statistical modeling, a strong understanding of marketing analytics and its KPIs, advertising & marketing technologies and strong communication skills. This role will bring rigor to advanced projects across marketing and product data initiatives. Knowledge of Causal Inference is a plus.
Responsibilities:
- Build predictive models using statistical and Machine Learning techniques used for classification and regression. Assess model performance and communicate with stakeholders.
- Derive insights from data to improve our understanding of the user journey and the effectiveness of product and marketing tactics
- Collaborate with marketing and Business Intelligence (BI) teams to formulate business needs into suitable mathematical models that scale our efficient marketing spend, including multi-touch attribution, media mix, audience segmentation, propensity/cross sell modeling and next best action models etc.
- Act as an advisor to business units looking to ensure rigorous testing and build complex analyses
- Mine and analyze company data to drive optimization and improvement of product development, marketing techniques and business strategies
- Partner with the rest of the data team to improve data consistency, cleanliness, and ease of use
- Partner with machine learning engineers to put models in production
Skills & Qualifications:
- 3+ years of work experience in data analysis
- Undergraduate degree in Engineering, Mathematics, Operations Research, Statistics, or Economics.
- Experience using statistical analysis and predictive modeling to improve business outcomes
- Bachelor’s Degree in a quantitative field; Advanced Degree a plus
- Strong knowledge with databases such as RedShift, PostgreSQL, or Hadoop/Spark. Familiarity with Python computing stack, AWS
- Comfortable with ambiguity, adaptable to a high-change environment, and open to new concepts and processes
- Prior software engineering experience a plus
- Experience in eCommerce or healthcare a plus
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Business Intelligence Causal inference Classification Data analysis E-commerce Economics Engineering Excel Hadoop KPIs Machine Learning Mathematics PostgreSQL Predictive modeling Python Redshift Research Spark Statistical modeling Statistics Testing
Perks/benefits: Career development Health care
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