Senior Associate, Marketing Data Scientist – Pharmacy
Humana
full-time
Posted on:
Location Type: Hybrid
Location: Louisville • Illinois, Kentucky, Massachusetts, Texas, Washington • 🇺🇸 United States
Visit company websiteSalary
💰 $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