Humana

Senior Associate, Marketing Data Scientist – Pharmacy

Humana

full-time

Posted on:

Location Type: Hybrid

Location: Louisville • Illinois, Kentucky, Massachusetts, Texas, Washington • 🇺🇸 United States

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Salary

💰 $117,600 - $161,700 per year

Job Level

Senior

Tech Stack

PythonSQLTableau

About the role

  • lead the development of analytics that inform pharmacy strategy and performance
  • Conduct advanced analyses to evaluate pharmacy marketing campaign effectiveness and member behavior
  • Leverage dashboards & reporting tools for marketing leadership and stakeholders
  • Collaborate with cross-functional teams to align analytics with strategic goals
  • Translate complex data into clear, actionable insights
  • Mines, cleans and analyzes data from company databases and external data sources to build prediction of marketing goals, report on campaign performance over time by each channel
  • Develop custom machine learning models such as segmentation, multi touch attribution, churn models etc.
  • Use predictive modeling to bring insights into Humana member experiences utilizing Regression, Random Forest, XG Boost models, clustering, text mining for revenue generation, and other business outcomes
  • Conduct a power analysis, do hypothesis testing, develop marketing A/B test design, support implementation of the tests and present the statistical findings of the test to our business partners
  • Develop processes and tools to monitor and analyze model performance and data accuracy
  • Coordinate with different functional teams to implement models and monitor outcomes
  • Test Design and Analysis: responsible for valid test design, appropriate sample sizing and setup to ensure results are statistically significant and insights are generated
  • Responsible for advocating and building the discipline for continual testing, measurement, and iteration
  • Use mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions

Requirements

  • Bachelor's degree in data analytics, Pharmacy, Business, healthcare, related quantitative field OR 3–5 years of data analytics or data science experience
  • 3+ years of demonstrated proficiency in SQL, Python, or R for data analysis and modeling
  • 3+ years, strong experience with data visualization tools (e.g., Tableau, Power BI)
  • 3+ years of experience with setting up causal inference experiments
  • Experience in developing, maintaining, and collecting structured and unstructured data sets for analysis and reporting
  • Be able to create reports, projections, models, and presentations to support business strategy and tactics
  • 3+ years and knowledge of predictive modeling and segmentation techniques
Benefits
  • medical, dental and vision benefits
  • 401(k) retirement savings plan
  • time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
  • short-term and long-term disability
  • life insurance

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analysispredictive modelingmachine learningsegmentationmulti touch attributionchurn modelshypothesis testingA/B testingdata cleaningdata mining
Soft skills
collaborationcommunicationanalytical thinkingproblem solvingadvocacypresentation skillsstrategic alignmentattention to detailiterationbusiness analysis
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