Principal – Marketing Data Science

🔥 45 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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

• 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. • Traditional analytics and reporting remain part of the job, but the core of the role is hands-on model building.

🎯 Requirements

• 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.

🏖️ Benefits

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