Note: The job is a remote job and is open to candidates in USA. GoodRx is a prescription savings and healthcare marketplace platform helping consumers access affordable medications and healthcare services. The Lead Data Scientist will lead data science initiatives across audience decisioning, marketing analytics, identity resolution, pharma measurement, and employer analytics, while building and deploying predictive models, experimentation frameworks, and responsible AI capabilities. The role also provides technical leadership, mentorship, and roadmap direction for decision science capabilities.
Responsibilities
- Lead complex data science initiatives across audience decisioning, marketing decision science, pharma direct measurement, and employer direct analytics, driving measurable business impact
- Derive insights from large, complex datasets to deepen our understanding of user identity and the customer journey from online discovery to in-store retail, connecting fragmented signals into a coherent view of how users move through the GoodRx ecosystem
- Build audience selection, segmentation, propensity, and lookalike models that ensure the right message reaches the right user at the right moment across marketing and content channels
- Partner with marketing and content decision science teams on content generation, channel optimization, attribution, and incrementality measurement
- Develop measurement and modeling capabilities for pharma direct partners, including incremental prescription lift, audience targeting, and campaign effectiveness, working with first and third party prescription, claims, and behavioral data
- Support employer direct initiatives with member engagement, utilization, and adoption modeling that strengthens our benefits and B2B offerings
- Refine our attribution and identity capabilities, applying NLP techniques such as text cleaning, normalization, and typo correction to improve data quality at scale
- Build predictive models using statistical and machine learning techniques across classification, regression, and disambiguation problems, owning the full lifecycle from problem framing and feature engineering through training, evaluation, deployment, monitoring, and retraining
- Lead experimentation strategy, including A/B testing design, causal inference approaches, and measurement frameworks that inform critical business decisions
- Define and drive the technical roadmap for decision science capabilities, introducing new methodologies, technologies, and best practices that improve team effectiveness and business outcomes
- Provide technical leadership and mentorship to data scientists, elevating analytical best practices and advising stakeholders to ensure technical rigor and sound decision-making
- Partner with the broader data team to improve data consistency, cleanliness, and ease of use, contributing to shared tooling, documentation, and standards that raise the bar across the organization, including model governance, reproducibility, and responsible AI
Skills
- 8+ years of experience in data science, machine learning, operations research, or a related quantitative field, with a track record of delivering measurable business impact through productionized solutions
- An undergraduate degree (or equivalent practical experience) in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, Operations Research, Data Science, or a closely related discipline
- Proven track record of technical leadership, influencing business strategy, and driving adoption of advanced analytical approaches across organizations
- Deep understanding of machine learning, statistical modeling, optimization techniques, causal inference, forecasting, experimentation, and predictive analytics
- Expertise in Python and common data science libraries (for example pandas, NumPy, scikit-learn, PySpark, TensorFlow, PyTorch, or similar)
- Strong working knowledge of databases and distributed data systems such as Redshift, PostgreSQL, and Spark/EMR
- Experience building and deploying solutions using cloud platforms (AWS, GCP, or Azure) and modern data platforms such as Databricks
- Experience deploying, monitoring, and operationalizing machine learning models using modern MLOps practices, including experimentation platforms, feature stores, and model monitoring
- Experience evaluating and applying AI/ML solutions, including generative AI and large language model (LLM) technologies, where appropriate
- Comfort with ambiguity and the ability to thrive in a fast-paced, high-change environment. You are adaptable, intellectually curious, and open to new concepts, tools, and processes
- Strong communication skills, with the ability to influence technical and business stakeholders at multiple levels and to translate technical findings into clear, actionable recommendations for diverse audiences
- A collaborative, self-starting mindset. You are a team player who can operate independently, take ownership, and hit the ground running
- Experience in audience modeling, marketing analytics, attribution, or identity resolution is strongly preferred
- Prior exposure to the prescription, pharmacy, or broader healthcare industry
- Experience with marketing analytics, audience segmentation, attribution, or incrementality measurement
- Experience supporting pharma manufacturer or employer and benefits partners in a B2B analytics context
- Experience with recommendation systems, reinforcement learning, optimization engines, or decision science applications
- An advanced degree (Master's or PhD) in a quantitative field
- Experience contributing to patents, publications, open-source projects, or industry thought leadership
Benefits
- Annual cash bonuses or commission
- Annual equity grants for most positions
- Medical, dental, and vision insurance
- 401(k) with a company match
- An ESPP
- Unlimited vacation
- 13 paid holidays
- 72 hours of sick leave
- Mental wellness programs
- Financial wellness programs
- Fertility benefits
- Generous parental leave
- Pet insurance
- Supplemental life insurance for you and your dependents
- Company-paid short-term and long-term disability
Company Overview
Company H1B Sponsorship