[Remote] Staff Data Scientist

Note: The job is a remote job and is open to candidates in USA. Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients nationwide. The Staff Data Scientist drives enterprise impact by translating complex data into scalable, decision-ready intelligence that accelerates growth, improves quality, and optimizes regulated operations.

Responsibilities

• Lead high-impact, cross-functional data science initiatives from problem framing through deployment, ensuring alignment with enterprise priorities and delivering measurable business outcomes
• Design advanced analytical models, experimentation frameworks, and optimization strategies that translate ambiguous business challenges into structured, high-value solutions
• Embed data science into operational workflows, ensuring solutions are actionable, interpretable, sustainable, and continuously improved through feedback loops, monitoring, and AI-enabled automation
• Develop and deploy sophisticated models including forecasting, causal inference, and optimization, ensuring technical rigor and business relevance
• Establish robust experimentation and measurement frameworks, defining KPIs and success criteria that enable confident, data-driven decisions
• Transform complex datasets into high-quality analytical assets, ensuring data integrity, governance, and usability while applying AI-driven feature engineering and data processing techniques
• Partner with senior leaders to identify opportunities, challenge assumptions, and shape data-driven strategies that align with business objectives and regulatory expectations
• Communicate complex analytical results through compelling narratives and visualizations, ensuring clarity, trust, and adoption
• Elevate organizational data science maturity by mentoring peers, promoting best practices, and introducing innovative methodologies and AI capabilities

Skills

• Minimum of 8 years of experience in data science, advanced analytics, statistics, operations research, or a related quantitative field, including ownership of large-scale or cross-functional initiatives
• Bachelor's degree in Statistics, Data Science, Applied Mathematics, Economics, Computer Science, Engineering, or a related discipline required; master's degree preferred; PhD a plus
• Strong strategic thinking, executive communication, cross-functional collaboration, stakeholder influence, and the ability to solve complex problems in ambiguous environments
• Deep technical expertise in Python, SQL, experimentation, causal inference, forecasting, optimization, KPI and measurement framework design, decision-support analytics, and modern data platforms such as Snowflake, AWS, and Microsoft Azure
• Advanced expertise in Python, SQL, and modern data platforms with strong capabilities in forecasting, experimentation, optimization, and causal inference
• Deep understanding of AI/ML techniques and their application to improve speed, scale, decision quality, and automation within complex, regulated environments
• Strong business acumen with the ability to translate ambiguity into structured analytical approaches and communicate insights effectively to executive stakeholders
• Proficiency in designing KPIs, measurement frameworks, and scalable analytics solutions that ensure data integrity, governance, and operational impact
• Preferred certification in statistics, experimentation, forecasting, optimization, or causal inference

Benefits

• Medical, dental, and vision coverage
• Paid time off
• 401(k) matching
• Wellness perks
• IV therapy
• Compounded medications

Company Overview

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