Humana Senior Data Scientist in Helena, Montana
Become a part of our caring community and help us put health first
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.
We are seeking a Senior Data Scientist to develop reliable, interpretable, and steerable AI systems. Our goal is to create safe AI solutions that will revolutionize and improve healthcare experience and outcomes for our customers. Join our rapidly expanding team of dedicated data scientists, engineers, policy experts, and business leaders as we work together to build impactful and beneficial AI systems.
Key Responsibilities
- Develop data science initiatives, leveraging insights to influence strategic decisions at Enterprise AI.
- Foster collaboration among data scientists, software engineers, and key stakeholders to deliver impactful AI solutions that drive business value.
- Develop and maintain complex machine learning models and algorithms.
- Build machine learning models and integrate them into our production system.
- Create reports, projections, models, and presentations to support business.
Use your skills to make an impact
Required Qualifications
- Master's Degree and 3+ years of experience in research/ML engineering or an applied research scientist position preferably with a focus on developing production-ready AI solutions.
- 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
Location/Work Style: Remote US
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. Just to name a few:
- Work-Life Balance
- Generous PTO package
- Annual Incentive Plan
- 401K - Excellent company match
If you share our passion for helping people, we likely have the right place for you at Humana.
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, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
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 veteran status.
#J-18808-Ljbffr