Senior Decision Intelligence Engineer – NBA

🔥 35 minutes ago

🐎 Kentucky – Remote

🐎 Kentucky – Remote

💵 $106.9k - $147k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Humana

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1961

🏥 Healthcare

🛡️ Insurance

⚕️ Healthcare Insurance

Healthcare • Insurance • Healthcare Insurance

Humana is a healthcare company dedicated to making a positive impact on the health of individuals, communities, and the healthcare system as a whole. With a focus on putting health first, Humana serves a diverse range of populations, including seniors and the military, providing Medicare Advantage HMO, PPO, and PFFS plans. Humana is committed to fostering a culture of belonging and mutual respect, offering competitive and flexible benefits to ensure the financial security of its employees and their families. The company prides itself on creating an inclusive workplace where everyone has the opportunity to succeed.

📋 Description

• Build, deploy, and operate ML and decisioning pipelines for the NBA Decision Intelligence Platform • Build and maintain production pipelines for feature generation, model training, evaluation, scoring, deployment, and monitoring • Develop reusable pipeline components using Python, PySpark, Databricks, Delta Lake, and MLflow • Support CI/CD, automated validation, model versioning, artifact management, rollback, and release workflows • Monitor model performance, data quality, drift, scoring outcomes, operational health, and SLA risks • Troubleshoot production issues across feature pipelines, scoring jobs, model artifacts, and downstream integrations • Build and maintain member feature pipelines using clinical, behavioral, engagement, operational, web clickstream, and socioeconomic data • Operate batch and near-real-time scoring workflows for personalized outreach across email, SMS, direct mail, digital, and care team channels • Integrate model outputs into decisioning platforms, campaign systems, and operational workflows • Contribute to next-best-action optimization, constrained ranking, member prioritization, and resource allocation • Translate business and clinical rules into constraints, scoring adjustments, objective functions, and prioritization logic • Support A/B testing, holdout testing, and model and decisioning effectiveness measurement • Build automated evaluation gates to prevent underperforming models or scoring workflows from production promotion • Validate output quality, action distributions, rule alignment, and downstream decision behavior before release • Document pipeline behavior, assumptions, limitations, and operational runbooks • Support compliance, auditability, explainability, and privacy in a regulated healthcare environment • Partner with ML engineering, data engineering, platform, product, rules engine, and decision engine teams • Participate in design reviews, code reviews, operational readiness reviews, and production support • Communicate implementation tradeoffs, production risks, optimization assumptions, and delivery status • Use AI-assisted engineering tools to improve development speed and quality

🎯 Requirements

• 5+ years of experience in machine learning engineering, MLOps, data engineering, platform engineering, optimization engineering, or related software engineering roles • Strong hands-on experience with Python, PySpark, SQL, and distributed data processing • Experience building and operating production ML pipelines using Databricks, MLflow, Airflow, or equivalent platforms • Experience with CI/CD, testing, observability, deployment automation, model monitoring, and production support • Experience with cloud-based data platforms such as Databricks, Snowflake, AWS, Azure, or GCP • Familiarity with model lifecycle management, experiment tracking, artifact versioning, and release workflows • Working knowledge of constrained ranking, objective functions, threshold tuning, prioritization, or capacity constraints • Ability to translate business rules and operational constraints into reliable production logic • Strong troubleshooting skills in complex production environments • Clear communication and collaboration across technical and non-technical teams • Preferred: experience with personalization, recommendation systems, next-best-action platforms, or decisioning engines • Preferred: experience with constrained optimization, linear programming, mixed-integer programming, heuristic optimization, or simulation-based evaluation • Preferred: familiarity with OR-Tools, SciPy Optimize, PuLP, Pyomo, Gurobi, or equivalent • Preferred: knowledge of Databricks Lakehouse, Unity Catalog, Delta Lake, Jobs Workflows, and MLflow • Preferred: experience with Kafka, event-driven pipelines, streaming data, or feedback-loop design • Preferred: experience in healthcare, insurance, or regulated environments involving PHI, HIPAA, auditability, and explainability • Preferred: experience with feature stores, real-time inference, OpenTelemetry, Terraform, or production observability tooling • Ability to provide a high-speed DSL or cable modem for a home office • Minimum internet speed of 25 Mbps download and 10 Mbps upload • Satellite and wireless internet service is not allowed • Dedicated workspace without ongoing interruptions to protect member PHI/HIPAA information

🏖️ Benefits

• Bonus incentive plan based on company and/or individual performance • Medical benefits • Dental benefits • Vision benefits • 401(k) retirement savings plan • Paid time off • Company holidays • Personal holidays • Paid parental leave • Paid caregiver leave • Short-term disability • Long-term disability • Life insurance • Flexible work arrangements / remote work • Occasional travel to Humana offices for training or meetings • Home internet expense payment for associates or contractors who live and work from home in California