Staff Data Scientist

Empower Pharmacy

Staff Data Scientist optimizing operations and growth through data science at Empower Pharmacy. Driving enterprise impact with advanced analytics in a high-demand healthcare environment.

Posted 7/27/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

AWSAzurePythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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