Senior Data Scientist

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The Senior Data Scientist uses advanced analytics, machine learning, and predictive modeling to solve complex healthcare challenges and drive improved outcomes. You will develop data-driven solutions that support population health, utilization management, and quality improvement. You will collaborate with clinical, operational, and business partners to transform complex healthcare data into actionable insights that improve the experiences of Humana's members and providers. You will report directly to the Associate Director, Data Science.

What You'll Do:

• Partner with Utilization Management (UM), clinical, and business teams to identify opportunities that improve healthcare quality, member outcomes, affordability, and provider experience.
• Design, develop, validate, and implement predictive models to identify clinical risk, utilization trends, quality gaps, and opportunities for intervention.
• Apply advanced statistical modeling, machine learning, and analytics techniques to support population health and healthcare decision-making.
• Build and maintain analytical datasets and features using medical, pharmacy, laboratory, and provider claims data.
• Collaborate with clinicians, clinical informaticists, and business stakeholders to translate complex business problems into analytical solutions.
• Evaluate model performance and communicate actionable insights and recommendations to technical and non-technical audiences.
• Research and scale innovative analytical approaches that improve healthcare outcomes and operational performance.
• Contribute to data science best practices, modeling standards, and reusable analytical frameworks across the organization.
• Understand Humana's objectives and independently manage work in a fast-paced and sometimes ambiguous environment.

Use your skills to make an impact

Required Qualifications

• Master's degree in Statistics, Biostatistics, Data Science, Economics, Mathematics, Computer Science, Clinical Informatics, or a related quantitative discipline.
• 4+ years of experience developing, validating, and implementing predictive models in healthcare, managed care, population health, or a related environment.
• Demonstrated experience independently developing predictive models that influenced clinical, operational, or financial outcomes.
• Advanced proficiency in Python, R, SAS, or similar programming languages used for statistical analysis and machine learning.
• Experience working with large, complex healthcare datasets, including claims, clinical, pharmacy, or laboratory data.
• Knowledge of statistical modeling, machine learning, model validation, and performance evaluation techniques.
• Demonstrated experience translating complex analytical findings and recommendations to technical and non-technical stakeholders.

Preferred Qualifications

• Experience developing predictive models for risk stratification, utilization management, care management, or value-based care initiatives.
• Previous experience in a managed care setting.
• Experience with causal inference, causal machine learning, or advanced machine learning techniques such as NLP or deep learning.
• Experience working with big data technologies such as Spark or PySpark.
• Experience deploying and monitoring machine learning models in production environments.
• Familiarity with healthcare claims, clinical, pharmacy, laboratory, or EMR data (e.g. Epic).

Work at Home Requirements: To ensure Home or Hybrid Home/Office employees' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. In certain roles, the minimum recommended internet speed required by Humana may not be sufficient for business needs. Humana reserves the right to require associates to upgrade their internet service if necessary. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.


Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours

40

Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.

$117,600 - $161,700 per year

This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.

Application Deadline: 08-20-2026
About us
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.

Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.