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Principal Data Scientist

Humana

Principal Data Scientist

full-timePosted: Jan 27, 2026

Job Description

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

The Principal Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Principal Data Scientist is highly skilled with broad, advanced technical experience and provides strategic advice and guidance to functional teams.

The Consumer Digital organization at Humana develops innovative digital capabilities that empower people with personalized guidance and solutions to achieve their best health.

We are seeking a Principal Data Scientist to lead advanced analytics initiatives and provide strategic insights that shape enterprise-wide decisions. This role combines deep technical expertise with leadership and advisory responsibilities, working closely with senior leadership to drive functional strategies across the organization.

Key Responsibilities

  • Develop, maintain, and collect structured and unstructured data sets for analysis and reporting

  • Apply machine learning, mathematics, statistics, and business analysis to transform large, complex data into actionable insights

  • Build advanced models, projections, and presentations to support business strategy and tactics

  • Collaborate with senior executives to develop and drive segment- or enterprise-wide strategies

  • Mentor and guide junior data science talent


Use your skills to make an impact
 

Required Qualifications

  • Master’s Degree or Ph.D. in machine learning, computer science, statistics, mathematics, data science, engineering, or a related quantitative field

  • 10+ years of hands-on experience applying machine learning and creating advanced analytics solutions to solve complex business problems

  • 2+ years of project and/or people leadership experience

  • Proficient in Python and PySpark, including libraries such as scikit-learn, TensorFlow, Keras, and Spark ML

  • In-depth knowledge of machine learning techniques such as regression, decision trees, ensemble models, neural networks, deep learning, clustering, and forecasting

  • Experience in working with high volumes of structured and unstructured data to develop tactical and strategic insights

  • Experience with cloud platforms (e.g., Azure, GCP, or AWS)

  • Strong analytical and critical thinking skills with a track record of delivering data-driven solutions in fast-paced environments

  • Experience with providing strategic advice and guidance to functional teams

  • Exceptional verbal and written communication skills, with the ability to explain complex concepts clearly to diverse audiences, including non-technical stakeholders

  • Demonstrated success in providing strategic guidance and working with senior executives on enterprise-wide initiatives

  • Experience mentoring and developing junior team members

Preferred Qualifications

  • Knowledge of the healthcare domain

  • Experience in e-commerce analytics

  • Experience with NLP and Generative AI techniques and applications

  • 3–5 years of project and/or people leadership experience

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.


 

$172,200 - $236,900 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, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.


About us
 

Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and 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, Medicaid, families, individuals, military service personnel, and communities at large.


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.

Locations

  • Remote, United States of America (Remote)

Salary

172,200 - 236,900 USD / yearly

Estimated Salary Rangehigh confidence

172,200 - 248,745 USD / yearly

Source: Disclosed

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Pythonintermediate
  • PySparkintermediate
  • scikit-learnintermediate
  • TensorFlowintermediate
  • Kerasintermediate
  • Spark MLintermediate
  • Machine learning techniques (regression, decision trees, ensemble models, neural networks, deep learning, clustering, forecasting)intermediate
  • Cloud platforms (Azure, GCP, AWS)intermediate
  • Analytical and critical thinkingintermediate
  • Strategic advice and guidanceintermediate
  • Communication skillsintermediate

Required Qualifications

  • Master’s Degree or Ph.D. in machine learning, computer science, statistics, mathematics, data science, engineering, or a related quantitative field (experience)
  • 10+ years of hands-on experience applying machine learning and creating advanced analytics solutions to solve complex business problems (experience)
  • 2+ years of project and/or people leadership experience (experience)
  • Proficient in Python and PySpark, including libraries such as scikit-learn, TensorFlow, Keras, and Spark ML (experience)
  • In-depth knowledge of machine learning techniques such as regression, decision trees, ensemble models, neural networks, deep learning, clustering, and forecasting (experience)
  • Experience in working with high volumes of structured and unstructured data to develop tactical and strategic insights (experience)
  • Experience with cloud platforms (e.g., Azure, GCP, or AWS) (experience)
  • Strong analytical and critical thinking skills with a track record of delivering data-driven solutions in fast-paced environments (experience)
  • Experience with providing strategic advice and guidance to functional teams (experience)
  • Exceptional verbal and written communication skills, with the ability to explain complex concepts clearly to diverse audiences, including non-technical stakeholders (experience)
  • Demonstrated success in providing strategic guidance and working with senior executives on enterprise-wide initiatives (experience)
  • Experience mentoring and developing junior team members (experience)

Preferred Qualifications

  • Knowledge of the healthcare domain (experience)
  • Experience in e-commerce analytics (experience)
  • Experience with NLP and Generative AI techniques and applications (experience)
  • 3–5 years of project and/or people leadership experience (experience)

Responsibilities

  • Develop, maintain, and collect structured and unstructured data sets for analysis and reporting
  • Apply machine learning, mathematics, statistics, and business analysis to transform large, complex data into actionable insights
  • Build advanced models, projections, and presentations to support business strategy and tactics
  • Collaborate with senior executives to develop and drive segment- or enterprise-wide strategies
  • Mentor and guide junior data science talent

Benefits

  • general: Medical, dental and vision benefits
  • general: 401(k) retirement savings plan
  • general: Time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
  • general: Short-term and long-term disability
  • general: Life insurance

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Humana logo

Principal Data Scientist

Humana

Principal Data Scientist

full-timePosted: Jan 27, 2026

Job Description

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

The Principal Data Scientist uses mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions. The Principal Data Scientist is highly skilled with broad, advanced technical experience and provides strategic advice and guidance to functional teams.

The Consumer Digital organization at Humana develops innovative digital capabilities that empower people with personalized guidance and solutions to achieve their best health.

We are seeking a Principal Data Scientist to lead advanced analytics initiatives and provide strategic insights that shape enterprise-wide decisions. This role combines deep technical expertise with leadership and advisory responsibilities, working closely with senior leadership to drive functional strategies across the organization.

Key Responsibilities

  • Develop, maintain, and collect structured and unstructured data sets for analysis and reporting

  • Apply machine learning, mathematics, statistics, and business analysis to transform large, complex data into actionable insights

  • Build advanced models, projections, and presentations to support business strategy and tactics

  • Collaborate with senior executives to develop and drive segment- or enterprise-wide strategies

  • Mentor and guide junior data science talent


Use your skills to make an impact
 

Required Qualifications

  • Master’s Degree or Ph.D. in machine learning, computer science, statistics, mathematics, data science, engineering, or a related quantitative field

  • 10+ years of hands-on experience applying machine learning and creating advanced analytics solutions to solve complex business problems

  • 2+ years of project and/or people leadership experience

  • Proficient in Python and PySpark, including libraries such as scikit-learn, TensorFlow, Keras, and Spark ML

  • In-depth knowledge of machine learning techniques such as regression, decision trees, ensemble models, neural networks, deep learning, clustering, and forecasting

  • Experience in working with high volumes of structured and unstructured data to develop tactical and strategic insights

  • Experience with cloud platforms (e.g., Azure, GCP, or AWS)

  • Strong analytical and critical thinking skills with a track record of delivering data-driven solutions in fast-paced environments

  • Experience with providing strategic advice and guidance to functional teams

  • Exceptional verbal and written communication skills, with the ability to explain complex concepts clearly to diverse audiences, including non-technical stakeholders

  • Demonstrated success in providing strategic guidance and working with senior executives on enterprise-wide initiatives

  • Experience mentoring and developing junior team members

Preferred Qualifications

  • Knowledge of the healthcare domain

  • Experience in e-commerce analytics

  • Experience with NLP and Generative AI techniques and applications

  • 3–5 years of project and/or people leadership experience

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.


 

$172,200 - $236,900 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, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.


About us
 

Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and 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, Medicaid, families, individuals, military service personnel, and communities at large.


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.

Locations

  • Remote, United States of America (Remote)

Salary

172,200 - 236,900 USD / yearly

Estimated Salary Rangehigh confidence

172,200 - 248,745 USD / yearly

Source: Disclosed

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Pythonintermediate
  • PySparkintermediate
  • scikit-learnintermediate
  • TensorFlowintermediate
  • Kerasintermediate
  • Spark MLintermediate
  • Machine learning techniques (regression, decision trees, ensemble models, neural networks, deep learning, clustering, forecasting)intermediate
  • Cloud platforms (Azure, GCP, AWS)intermediate
  • Analytical and critical thinkingintermediate
  • Strategic advice and guidanceintermediate
  • Communication skillsintermediate

Required Qualifications

  • Master’s Degree or Ph.D. in machine learning, computer science, statistics, mathematics, data science, engineering, or a related quantitative field (experience)
  • 10+ years of hands-on experience applying machine learning and creating advanced analytics solutions to solve complex business problems (experience)
  • 2+ years of project and/or people leadership experience (experience)
  • Proficient in Python and PySpark, including libraries such as scikit-learn, TensorFlow, Keras, and Spark ML (experience)
  • In-depth knowledge of machine learning techniques such as regression, decision trees, ensemble models, neural networks, deep learning, clustering, and forecasting (experience)
  • Experience in working with high volumes of structured and unstructured data to develop tactical and strategic insights (experience)
  • Experience with cloud platforms (e.g., Azure, GCP, or AWS) (experience)
  • Strong analytical and critical thinking skills with a track record of delivering data-driven solutions in fast-paced environments (experience)
  • Experience with providing strategic advice and guidance to functional teams (experience)
  • Exceptional verbal and written communication skills, with the ability to explain complex concepts clearly to diverse audiences, including non-technical stakeholders (experience)
  • Demonstrated success in providing strategic guidance and working with senior executives on enterprise-wide initiatives (experience)
  • Experience mentoring and developing junior team members (experience)

Preferred Qualifications

  • Knowledge of the healthcare domain (experience)
  • Experience in e-commerce analytics (experience)
  • Experience with NLP and Generative AI techniques and applications (experience)
  • 3–5 years of project and/or people leadership experience (experience)

Responsibilities

  • Develop, maintain, and collect structured and unstructured data sets for analysis and reporting
  • Apply machine learning, mathematics, statistics, and business analysis to transform large, complex data into actionable insights
  • Build advanced models, projections, and presentations to support business strategy and tactics
  • Collaborate with senior executives to develop and drive segment- or enterprise-wide strategies
  • Mentor and guide junior data science talent

Benefits

  • general: Medical, dental and vision benefits
  • general: 401(k) retirement savings plan
  • general: Time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
  • general: Short-term and long-term disability
  • general: Life insurance

Target Your Resume for "Principal Data Scientist" , Humana

Get personalized recommendations to optimize your resume specifically for Principal Data Scientist. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Principal Data Scientist" , Humana

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

R-397493

Answer 10 quick questions to check your fit for Principal Data Scientist @ Humana.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.