[Hiring] Principal, Marketing Data Science @Empower Pharmacy

Role Description

The Principal, Marketing Data Science builds the algorithmic and machine learning foundation that turns Empower’s marketing data into predictive, self-improving systems for growth. This role owns the design and development of attribution models, AI-driven learning systems, and the algorithmic infrastructure that processes and activates marketing data at scale, directly supporting patient access, provider adoption, and long-term value creation in a highly regulated healthcare environment. Traditional analytics and reporting remain part of the job, but the core of the role is hands-on model building: developing the systems and algorithms that let Empower’s marketing decisions get measurably smarter over time, not just measured after the fact.

Responsibilities

• Model Development
  • Designs, builds, and continuously refines attribution and incrementality models as hands-on technical work.
• AI Systems
  • Develops and deploys AI and machine learning systems that learn continuously from marketing and engagement data.
• Model Testing
  • Conducts rigorous testing, validation, and performance monitoring of deployed models.
• Data & Infrastructure
  • Pipeline Architecture : Architects the algorithmic pipelines and data infrastructure.
  • Systems Integration : Partners with marketing technology and IT teams to integrate new data sources.
  • Data Quality : Establishes data quality standards and monitoring processes.
• Stakeholder Communication
  • Executive Guidance : Translates model logic, assumptions, and outputs into clear guidance.
  • Performance Reporting : Maintains ongoing analytics and reporting deliverables.
  • Cross-Functional Alignment : Collaborates with marketing, sales, and product teams.
• Governance & Compliance
  • Technical Authority : Serves as the technical authority on marketing data science.
  • Compliance Oversight : Reviews algorithmic and AI workflows for HIPAA alignment.
  • Industry Awareness : Stays current on emerging machine learning techniques.

Qualifications

• Hands-on fluency in Python or R and SQL.
• Working knowledge of marketing attribution methodologies and applied machine learning.
• Strong understanding of statistical modeling techniques and experimental design principles.
• Ability to communicate complex technical concepts clearly to non-technical stakeholders.

Requirements

• A minimum of 5 years of experience building attribution models or machine learning systems.
• Bachelor’s degree or equivalent work experience in data science or a related quantitative field.
• Proven track record of building and deploying models into production marketing environments.
• Experience working within regulated industries, such as healthcare or financial services, is preferred.

Key Competencies

• Customer Focus: Builds trust through customer-centric solutions.
• Strategic AI: Guides responsible AI adoption and adaptation.
• Optimizes Work Processes: Drives efficiency with continuous improvement.
• Collaborates: Partners effectively to achieve shared goals.
• Resourcefulness: Secures and deploys resources efficiently.
• Manages Complexity: Simplifies and solves complex challenges.
• Ensures Accountability: Delivers on commitments with integrity.
• Situational Adaptability: Adjusts approach to shifting conditions.
• Communicates Effectively: Tailors messages to diverse audiences.

Values

• People: Empowering people defines who we are.
• Quality: Excellence in every product, every time.
• Service: Serving others is our highest purpose.
• Innovation: Advancing care through technology and discovery.

Benefits

• Comprehensive medical, dental, and vision coverage.
• Paid time off.
• 401(k) matching.
• Wellness perks.
• IV therapy and compounded medications.

Physical Requirements

• Required to talk and hear.
• Often required to remain in a stationary position for a significant amount of the workday.
• Frequently use hands and fingers to handle or feel information from the computer.
• Regularly required to move about the office and around the corporate campus.
• Regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.