Empower Pharmacy

Empower Pharmacy

Principal, Marketing Data Science

US Remote · Principal

Sponsorship not specifiedDetected 21 hours ago
PythonAlgorithmsSQLMachine LearningData ScienceStatisticsComplianceStakeholder ManagementForecastingHRISHIPAAFDA RegulatoryExperimental DesignLeadershipCommunicationCollaborationAdaptability

About the role

  • 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.
  • 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
  • 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.

Responsibilities

  • Model Building: Designs, builds, and continuously refines attribution and incrementality models as hands-on technical work, treating model architecture, validation, and retraining as core ongoing responsibilities rather than something delegated or outsourced.
  • Pipeline Architecture: Architects the algorithmic pipelines and data infrastructure that ingest, process, and operationalize marketing data at scale, partnering with marketing technology and IT to build systems and automated workflows, not just dashboards and reports.
  • Systems Integration: Partners with marketing technology and IT teams to integrate new data sources and algorithmic outputs into existing platforms, ensuring scalable, production-ready deployment.
  • Performance Reporting: Maintains ongoing analytics and reporting deliverables that track marketing performance, model impact, and business outcomes for stakeholders across the organization.
  • Cross-Functional Alignment: Collaborates with marketing, sales, and product teams to ensure model outputs are understood, adopted, and applied effectively in day-to-day decision-making.
  • Hands-on fluency in Python or R and SQL, with experience building, validating, and productionizing predictive or causal models rather than relying solely on BI or visualization tools.
  • Customer Focus: Builds trust through customer-centric solutions.

Requirements

  • While performing the responsibilities of the job, the employee is required to talk and hear.
  • Employees are regularly required to move about the office and around the corporate campus.
  • The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.
  • Strong understanding of statistical modeling techniques and experimental design principles used to validate causal and predictive relationships in marketing data.
  • A minimum of 5 years of experience building attribution models, machine learning systems, or algorithmic data products within complex, multi-channel marketing environments, with direct hands-on model development experience.
  • Requires a bachelor's degree or equivalent work experience in data science, statistics, computer science, applied mathematics, or a related quantitative field; an advanced degree in a quantitative discipline is a plus.
  • Proven track record of building and deploying models into production marketing environments, with measurable impact on campaign performance or business outcomes.
  • Experience working within regulated industries, such as healthcare or financial services, where data privacy and compliance requirements shape technical decision-making is preferred.

Nice to have

  • Requires a bachelor's degree or equivalent work experience in data science, statistics, computer science, applied mathematics, or a related quantitative field
  • an advanced degree in a quantitative discipline is a plus.

Skills

  • Experience and

Benefits

  • We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications.
  • Compliance Oversight: Reviews algorithmic and AI workflows on an ongoing basis to confirm continued alignment with HIPAA and healthcare data privacy standards as models and data sources evolve.
  • Industry Awareness: Stays current on emerging machine learning techniques, marketing attribution methodologies, and regulatory developments relevant to healthcare marketing analytics.

Company info

  • Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients nationwide.
  • As the nation's most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility, we're redefining what's possible in personalized medicine and pharmaceutical manufacturing.
  • We're proud to be recognized as one of Houston's fastest-growing private companies and ranked #116 in Healthcare & Medical on the Inc.
  • 5000 List for 2025.
  • Empowering people defines who we are.
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This listing is sourced directly from Empower Pharmacy's careers page and normalized into a canonical job model.