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SmithRx

Senior Data Scientist

SmithRx, San Francisco, California, United States, 94199

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Senior Data Scientist Join the role of Senior Data Scientist at SmithRx

Who We Are

SmithRx is a rapidly growing, venture‑backed Health‑Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next‑generation drug acquisition platform driven by cutting‑edge technology, innovative cost‑saving tools, and best‑in‑class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx’s solution is resonating with clients all across the country.

Job Summary As a Senior Data Scientist at SmithRx, you’ll play a pivotal role on a high‑impact Data team, leading through technical excellence, mentoring emerging talent, and delivering insights that shape key strategic decisions. You will operate within the beating heart of our mission, building and measuring the impact of leading‑edge technologies, such as our proprietary Drug Pathways Engine, to make healthcare more affordable and accessible. If you’re a hands‑on problem‑solver eager to make a tangible difference in a high‑growth health‑tech environment, come join us!

Responsibilities

Drive Goal‑Setting & Decision‑Making

Partner with Product, Clinical, CS, and GTM stakeholders to deeply understand their domains and define success states for each through data‑driven goal‑setting.

Design key metrics that showcase progress toward our goals and uncover opportunities to deliver product and business improvements using advanced statistical methodologies.

Influence decision‑making by designing and executing experiments that rigorously evaluate the viability of those opportunities with statistical significance.

Architect Data Foundations

– Collaborate closely with Data & ML Engineers to influence the design, development, and maintenance of dimensional data models, ensuring data reliability and accessibility.

Elevate Data Quality Rigor

– Champion world‑class data governance practices, continuously raising the bar for data & code quality across tech teams.

Amplify Team Performance

– Operate as a force multiplier that fosters growth within the team, providing incisive technical mentorship, inspiring intellectual curiosity, and driving clarity amid ambiguity.

Qualifications

Bachelor’s degree in a quantitative field (e.g., mathematics, statistics) – Master’s or Ph.D. preferred.

8+ years of hands‑on experience influencing product and business decision‑making through experimentation and advanced analytics.

Healthcare and/or pharmacy experience is preferred.

Advanced technical proficiency, including deep experience with:

Leveraging SQL & dbt to query, transform, and validate complex data sets.

Leveraging scripting languages (e.g., Python) and statistical/mathematical software (e.g., R) for advanced statistical modeling.

Collaborating with Data & ML Engineers to architect robust data models and institute world‑class data quality guardrails.

Establishing and scaling causal learning frameworks, including designing and executing experiments with statistically significant findings.

Designing, presenting, and influencing people with data visualizations that deliver impactful and actionable insights.

A self‑starter mentality, proactively identifying novel ways to drive impact, devising creative solutions to complex challenges, and independently delivering on commitments.

Excellent communication and storytelling skills, seamlessly adapting between business and technical audiences.

Proven leadership prowess, including the ability to drive clarity by articulating a compelling vision and bringing people along with you.

Benefits

Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance.

Flexible Spending Benefits.

401(k) Retirement Savings Program.

Short‑term and long‑term disability.

Discretionary Paid Time Off.

Paid Company Holidays.

Wellness Benefits.

Commuter Benefits.

Paid Parental Leave benefits.

Employee Assistance Program (EAP).

Well‑stocked kitchen in office locations.

Professional development and training opportunities.

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