Lead Applied Scientist, NBA – Reinforcement Learning
Remote Nationwideremotesenior$129K – $178K
Posted today · via Workday
About this role
Become a part of our caring community Become a Part of Our Caring Community Humana is seeking a Lead Applied Scientist to design, develop, and scale intelligent decision systems powering our Next Best Action (NBA) platform. Our platform combines machine learning, reinforcement learning, and decision intelligence to deliver personalized recommendations that improve healthcare experiences and outcomes for millions of members. We are looking for a hands-on technical leader who can translate complex business problems into scalable, production-ready decision systems. The ideal candidate combines strong machine learning expertise with an understanding of decision science and software engineering. This role goes beyond building predictive models.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, vue, redis, databricks, pyspark…
2
Level fit
This role is senior-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is remote-eligible. We factor in your stated location and time-zone overlap.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonvueredisdatabrickspysparkkafkapytorchmlflowrayteamshipaaworkday
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