Senior Associate, Marketing Data Manager
Humana
CloudOracleSQL
Data Scientist
Analytica
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudETLGoogle Cloud PlatformPythonTableau
About the role
- Demonstrate experience working with military or veteran healthcare systems (e.g., DHA, VA), with a deep understanding of healthcare data, regulatory compliance, and mission-driven care delivery.
- Conduct ETL, exploratory data analysis (EDA), data wrangling to develop and present innovative ML algorithms to enhance healthcare system and collaboration.
- Apply ML techniques and time series for predictive analytics to support faster and more accurate healthcare outcomes.
- Design, develop, deploy NLP and AI/ML models incorporating unit testing, performance validation, and post-deployment monitoring to ensure reliability and scalability.
- Develop interactive, user-friendly dashboards and visualizations in Python, Power BI, and/or Tableau to support real-time healthcare analytics and decision-making.
- Work with clinical and operational stakeholders to gather requirements and translate them into meaningful, data-driven visual solutions.
- Enhance user engagement with dynamic, drill-through capabilities and actionable insights embedded with dashboards.
- Execute thorough quality control procedures to ensure high reliability, data integrity, and optimized performance of ML algorithms and dashboard solutions.
- Produce clear and comprehensive documentation, including business requirements, technical specifications, and user training materials tailored to AI/ML and dashboard solutions.
- Develop presentation materials (e.g., PowerPoint summaries, technical briefs) to support algorithm approval processes and facilitate stakeholder communication.
- Maintain versioned documentation to support compliance, reproducibility, and knowledge transfer across teams.
Requirements
- Bachelor’s or Master’s degree in data science, data analytics, statistics, computer science, health policy, public health, or related field.
- 5+ years of experience in data science, analytics, or statistics with a strong understanding of statistical, probability, and machine learning theory.
- 5+ years of experience developing and deploying end-to-end ML solutions, including statistical analysis, forecasting, and predictive modeling.
- 5+ years of hands-on experience in ML development, using advanced algorithms such as Random Forest, Gradient Boosting (e.g., XGBoost, LightGBM), SVM, CNNs, RNN, LSTM, GANs, GNNs, and clustering techniques (e.g., K-means, DBSCAN), including autoencoders.
- 3+ years of experience designing, developing, and maintaining ETL processes across diverse data systems.
- 3+ years of experience in cloud environments (AWS, Azure, or GCP), including deployment, data integration, and scalable infrastructure design.
- 2+ years of experience with healthcare analytics.
Benefits
- Bonuses
- Employer paid health care
- Training and development funds
- 401k match
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
ETLexploratory data analysisdata wranglingmachine learningpredictive analyticsnatural language processingstatistical analysisforecastingdata visualizationcloud environments
Soft skills
stakeholder communicationrequirement gatheringdocumentationuser engagementquality controlcollaborationpresentation skillsproblem-solvingattention to detailadaptability
