Job Title: Principal Data Scientist

Company Name: Devoted Health

Job Url: https://devoted.wd1.myworkdayjobs.com/Devoted/job/Remote-USA/Principal-Data-Scientist--Claims---Payment-Integrity_R2694?source=LinkedIn

Job Description: As a Principal Data Scientist, you will serve as a key partner to Devoted Health’s Claims and Payment Integrity (PI) teams, and broader Core Service Operations, leading efforts to improve payment accuracy and drive opportunities that allow us to invest more dollars in our members.

In this role, you will build and own robust data pipelines and data models, shaping how Devoted uses data to identify over- and under-payment risk, quantify savings opportunities, and design systems that scale accuracy and throughput across both pre-pay and post-pay operations.

This is a high-impact role critical to Devoted’s success. You will report into our Data Science team and work closely with Product Managers, Software Engineers, Business Intelligence Analysts, and Operations leaders to design scalable, technology-driven solutions to complex operational problems.

We are eager to find problem-solvers who iterate quickly, embrace ambiguity, and are deeply committed to our mission. You care about building strong technical foundations that enable real impact for our members and colleagues. You’re excited by the evolving AI landscape, but grounded in fundamentals, treating AI and LLMs as powerful tools to accelerate problem-solving, not a replacement for clear thinking or strong data models.

In this role, you will:

Leverage domain knowledge of claims data and provider billing behavior to drive meaningful cost savings and improve operational decision-making

Define high-impact analytical problems in Claims and PI, collaborating with business leads, product managers, engineers, and technical teammate

Collaborate closely with engineering and business partners to ensure scalable, maintainable data pipelines, and determine our most impactful work to scale our payment accuracy program with new opportunities and technology

Scope, communicate, and implement technical solutions collaboratively, delivering value iteratively while independently executing

Advise stakeholders on evaluating and implementing internally developed LLM based agents to improve workflows, and perform data extraction to leverage output of those agents in feature stores and analysis

Required skills and experience:

Ability to thrive in a fast-paced, high-growth environment, that values quick iteration

7+ years of individual technical contributor experience

Strong background in SQL, with fluency in modern data ecosystems (Snowflake, dbt, Looker, Python)

Skilled at collaborating with cross-functional teams and influencing decisions with data-driven insights

Comfort with both building scalable, maintainable data pipelines, and doing deep-dive statistical analysis, predictive modeling and/or experimental design to drive business strategies

Desired skills and experience:

Claims, Payment Integrity, or Medical Economics experience, especially in Medicare Advantage

Comfort with “live” coding and real time problem solving, bringing up a SQL query and iterating in front of stakeholders is part of your toolkit

Familiarity using LLM coding features within an IDE (Github Copilot, OpenAI Codex, Claude Code)


Salary range: $128,057- $187, 083 annually plus eligibility for discretionary performance based bonus paid out annually. Target bonus is 10% however the actual payout is based on the terms of the bonus plan. The total compensation for this role is: $140,862-$205,791 (base plus bonus) 

#LI-Remote

The pay range listed for this position is the range the organization reasonably and in good faith expects to pay for this position at the time of the posting. Once the interview process begins, your talent partner will provide additional information on the compensation for the role, along with additional information on our total rewards package. The actual base salary offered will depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.

Our Total Rewards package includes:

Employer sponsored health, dental and vision plan with low or no premium

Generous paid time off

$100 monthly mobile or internet stipend

Stock options for all employees