[Hiring] Staff Data Scientist @SmithRx

Role Description

As a Staff 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 accelerate our mission to make healthcare more affordable & accessible. You’ll have a genuine opportunity to shape our product, business, and people, and reinforce our position as the market leader in the Modern PBM revolution. If you’re a hands-on problem-solver eager to make a tangible difference in a high-growth health tech environment, come join us at SmithRx!

What you will do

• Establish Data-Driven Business Command
  • Partner with technical and business leaders to design key metrics, dashboards, and AI-enabled data products that are widely-adopted and influence cross-functional strategic direction and multi-year roadmaps.
  • Establish hypothesis-driven decision-making as the default operating mode across partner teams through statistically rigorous experimentation.
  • Tackle undefined, open-ended problems by defining both the "what" and "how" and conducting rigorous analyses that drive meaningful product and business impact.
  • Transform complex findings into compelling narratives that provide strategic clarity and influence broader organizational direction.
• Champion Trustworthy Data
  • Collaborate closely with Data Engineers to influence the design, development, and maintenance of dimensional data models, ensuring data is complete, accurate, and reliably delivered.
  • Champion world-class data governance practices, continuously raising the bar for data & code quality across technical teams.
• Amplify Organizational Impact
  • Partner with stakeholders to align roadmaps with business priorities, anticipating emerging needs before they are formally requested and driving positive outcomes in high-stakes contexts.
  • Operate as a force multiplier whose influence fosters growth across partner teams, providing incisive technical mentorship, inspiring intellectual curiosity, and driving clarity amidst ambiguity.

Qualifications

• Bachelor’s degree in a quantitative field (e.g. mathematics, statistics)
• Master’s or Ph.D. degree is 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:
  • 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 & Analytics Engineers to architect robust data models and institute world-class data quality guardrails
• 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 bring 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