Lead Data Scientist at Humana | Louisville, KY, USA | Rezi

Lead Data Scientist at Humana

Lead Data Scientist

Humana · Louisville, KY, USA

3 weeks ago

Lead Data Scientist

Humana · Louisville, KY, USA

a month ago
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About the Role

The Enterprise AI organization at Humana is seeking a Lead Data Scientist to guide strategic decisions and develop reliable, interpretable, and steerable AI systems. This role focuses on creating safe, impactful AI solutions to improve healthcare outcomes and experiences for millions of consumers by collaborating with a multidisciplinary team of data scientists, engineers, and policy experts.

Responsibilities

  • Design AI solutions using Python, computer vision, and generative models like LLMs and diffusion models.
  • Ensure responsible development aligned with ethical standards, focusing on transparency, safety, and real-world impact.
  • Build autonomous AI agents using frameworks such as LangChain, LangGraph, AutoGen, and CrewAI.
  • Embed AI into enterprise systems and workflows.
  • Partner with business teams to co-create solutions and communicate AI capabilities.
  • Collaborate with engineering and product teams to implement MLOps and DevOps best practices for production deployment.
  • Manage the execution of data science strategies and initiatives.
  • Lead the development and maintenance of complex machine learning models and algorithms.
  • Design and implement robust monitoring capabilities to maintain optimal performance and reliability.
  • Create reports, projections, models, and presentations for executive leadership.

Requirements

  • Bachelor's Degree with 7+ years of experience OR Master's Degree with 5+ years of experience in research/ML engineering or applied research.
  • 2+ years of experience leading the 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.
  • Ability to work in a hybrid environment with 3 days per week in office.

Skills

  • Python
  • Computer Vision
  • Generative AI
  • LLMs
  • Diffusion Models
  • Agentic AI
  • LangChain
  • LangGraph
  • AutoGen
  • CrewAI
  • MLOps
  • DevOps
  • SQL
  • Data Analysis
  • Data Mining
  • Scikit-Learn
  • Tensorflow
  • Pytorch
  • Machine Learning
  • Transformers
  • Reinforcement Learning
  • ETL

Location

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

Work Type

  • Hybrid
  • Full-time

Experience Level

  • Lead

Education Level

  • Bachelor's Degree
  • Master's Degree
  • Ph.D. in Computer Science, Data Science, Machine Learning, or related field (Preferred)

Salary/Compensations

  • $142,300 - $195,700 per year

Benefits

  • Work-Life Balance
  • Generous PTO package
  • Health benefits effective day 1
  • Annual Incentive Plan
  • 401K with company match
  • Well-being program
  • Paid Volunteer Time Off
  • Medical, dental and vision benefits
  • Paid parental and caregiver leave
  • Short-term and long-term disability
  • Life insurance

About the Company

  • Humana Inc. is a leading U.S. healthcare company.
  • Operates through insurance services and CenterWell healthcare services.
  • Serves millions of people including Medicare and Medicaid beneficiaries, families, individuals, and military service personnel.

Equal Opportunity

  • Humana does not 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.
  • Humana takes affirmative action to employ and advance in employment individuals with disability or protected veteran status.