Senior Data Scientist

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October 28

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SmithRx

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Healthcare Insurance • SaaS • B2B

SmithRx is a transparent, pass-through pharmacy benefits manager (PBM) that operates independently from insurance companies and pharmacies to align its incentives with self-insured employers and their members. By leveraging modern technology, SmithRx aims to reduce the cost and complexity of pharmacy benefits, ensuring the delivery of effective and low-cost drugs. The company is dedicated to transforming the pharmacy benefits landscape through its flat-rate, transparent pricing model and innovative cost savings programs, which connect members to the lowest cost drugs without the use of spread pricing, rebates, or other tactics. SmithRx's commitment to transparency and superior customer service results in significant savings for employers and a highly satisfactory experience for its members.

51 - 200 employees

Founded 2018

⚕️ Healthcare Insurance

☁️ SaaS

🤝 B2B

💰 $20M Series B on 2022-03

📋 Description

• 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 to achieve them 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: Collaborating closely with Data & ML Engineers, you will 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 amidst ambiguity

🎯 Requirements

• Bachelor’s degree in a quantitative field (e.g. mathematics, statistics) • 8+ years of hands-on experience influencing product and business decision-making through experimentation and advanced analytics • 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 & 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 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 • 12 Paid Holidays • Wellness Benefits • Commuter Benefits • Paid Parental Leave benefits • Employee Assistance Program (EAP) • Well-stocked kitchen in office locations • Professional development and training opportunities