Senior Associate, Marketing Data Scientist; HH

Senior Associate, Marketing Data Scientist (HH)

Join to apply for the Senior Associate, Marketing Data Scientist (HH) role at Humana
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$117,600 – $161,700 per year

Become a part of our caring community and help us put health first.

As a Senior Data Scientist, Home Health Analytics, you’ll support Humana’s Home Health business by delivering insights that improve care delivery, member engagement, and operational efficiency. You’ll analyze data across marketing and clinical touchpoints to inform strategy and performance. This role is ideal for someone who enjoys connecting data to real-world healthcare outcomes and driving measurable impact.

• Lead analytics that support Home Health marketing and operational initiatives.
• Analyze member engagement, campaign performance, and operational metrics for Home Health services.
• Leverage dashboards and reports to provide visibility and insights into key KPIs.
• Collaborate with marketing, clinical, and strategy teams to align analytics with business goals.
• Conduct deep-dive analyses to uncover trends and opportunities.
• Ensure data quality and maintain documentation for repeatable insights.
• 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.
• Use predictive modeling (Regression, Random Forest, XGBoost, clustering, text mining) for revenue generation and other business outcomes.
• Conduct power analysis, hypothesis testing, develop marketing A/B test design, support implementation of tests and present findings to business partners.
• Develop processes and tools to monitor and analyze model performance and data accuracy.
• Ensure valid test design, appropriate sample sizing and setup to ensure statistically significant results; advocate and build 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.

• Bachelor’s degree in data analytics, pharmacy, business, healthcare, or 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 of 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.

• Experience in home health or post-acute care analytics.
• Familiarity with healthcare compliance and privacy standards.
• Master’s degree in a quantitative or healthcare-related field.
• Experience with Snowflake or Databricks.
• Marketing experience a plus.
• Experience with Adobe Analytics.

• Minimum download speed of 25 Mbps and upload speed of 10 Mbps recommended; wireless, wired cable or DSL connection is suggested.
• Satellite, cellular, and microwave connection can be used only if approved by leadership.
• Associates who live and work from home in California, Illinois, Montana, or South Dakota will receive a bi‑weekly payment for internet expense.
• Humana will provide telephone equipment appropriate to meet business requirements.
• Work from a dedicated space with minimal interruptions to protect member PHI/HIPAA information.

• Hiring process will use Hire Vue technology to conduct a pre‑screen interview via text and video. The pre‑screen takes about 15 minutes.
• Applicants selected to move forward will receive a text message inviting participation and will answer a set of questions by text.
• Personal information such as SSN may be requested; a secure email from Humana will provide instructions if required.

Travel:
While this is a remote position, occasional travel to…