Staff Data Scientist

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Empower Pharmacy

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2009

💊 Pharmaceuticals

🏥 Healthcare

🏭 Manufacturing

💰 Debt financing on 2023-10

Pharmaceuticals • Healthcare • Manufacturing

Empower Pharmacy is a U. S. -based compounding pharmacy and pharmaceutical manufacturer focused on producing individualized (compounded) medications at scale. Founded to expand access to affordable, high-quality personalized therapies, Empower operates both 503A and FDA-registered 503B outsourcing facilities, including large sterile manufacturing sites built to current Good Manufacturing Practices and leveraging automation for scalability. The company touts nationwide licensure, high-volume dispensing (reports filling thousands of custom-compounded prescriptions daily), and a mission centered on quality, safety, service, and innovation in pharmaceutical care.

📋 Description

• 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.

🎯 Requirements

• 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 is 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. • Preferred certification in statistics, experimentation, forecasting, optimization, causal inference, or a related analytical discipline.

🏖️ Benefits

• medical, dental, and vision coverage • paid time off • 401(k) matching • wellness perks • IV therapy • compounded medications