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Lead Data Scientist

$142.3k - $195.7k

Humana

Lead Data Scientist

The Enterprise AI organization at Humana is a pioneering force, driving AI innovation across our Insurance and CenterWell business segments. By collaborating with world-leading experts, we are at the forefront of delivering cutting-edge AI technologies for improving care quality and experience of millions of consumers. We are actively seeking top talent to develop robust and reusable AI modules and pipelines, ensuring adherence to best practices in accountable AI for effective risk management and measurement. Join us in shaping the future of healthcare through AI excellence.

Key Responsibilities
  • AI Innovation & Responsible Generative AI
  • Agentic AI System Design
  • Enterprise Integration & Business Collaboration
  • MLOps & DevOps Collaboration
  • Manage the execution of data science strategies and initiatives
  • Guide and execute the strategic decision in collaboration with data scientists, software engineers, and stakeholders
  • Lead the development and maintenance of complex machine learning models and algorithms
  • Lead and oversee the development of advanced machine learning models, ensuring their seamless integration into our production systems
  • Design and implement robust monitoring capabilities to maintain optimal performance and reliability
  • Experience in creating reports, projections, models, and presentations to executives
Required Qualifications
  • Bachelor's Degree and 7+ years of experience OR Master's Degree and 5+ years of experience in research/ML engineering or an applied research scientist position preferably with a focus on developing production-ready AI solutions
  • 2+ years of experience leading development of AI/ML systems
  • Experience with Agentic AI System Design
  • Experience collaborating with MLOps and DevOps teams
  • Proficiency in SQL, Python, and data analysis/data mining tools
  • Experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch
  • Experience with high performance, large-scale ML systems
  • Experience with language modeling with transformers
  • Experience with reinforcement learning
  • Experience with large-scale ETL
Preferred Qualifications
  • Ph.D. in Computer, Science, Data Science, Machine Learning, or a related field.
Additional Information

Work Style: This position will have a hybrid work style, with 3 days per week in office and 2 days per week remote/home.

Office Location Options:

  • Louisville, KY
  • Boston, MA
  • New York, NY
  • Dallas, TX
  • Tampa, FL
  • Washington, DC (Arlington, VA)
Why Humana?

At Humana, we know your well-being is important to you, and it's important to us too. That's why we're committed to making resources available to you that will enable you to become happier, healthier, and more productive in all areas of your life.

  • Work-Life Balance
  • Generous PTO package
  • Health benefits effective day 1
  • Annual Incentive Plan
  • 401K - Excellent company match
  • Well-being program
  • Paid Volunteer Time Off

If you share our passion for helping people, we likely have the right place for you at Humana.

Work at Home Guidance

To ensure Home or Hybrid Home/Office associates' ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office associates must meet the following criteria:

  • At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is 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 the state of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense
  • Humana will provide Home or Hybrid Home/Office associates with telephone equipment appropriate to meet the business requirements for their position/job
  • Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
SSN Alert Statement

Humana values personal identity protection. Please be aware that applicants may be asked to provide their Social Security Number, if it is not already on file. When required, an email will be sent from View email address on click.appcast.io with instructions on how to add the information into your official application on Humana's secure website.

Scheduled Weekly Hours: 40

Pay Range: $142,300 - $195,700 per year

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

Referral Bonus Information: Associates may receive a bonus for the referral of external candidates to this requisition, provided that all other eligibility requirements are met.

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.

Vacancy posted 7 days ago
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