Job Description
A bit about this role
As a Data Science Architect on Devoted’s Member Experience team, you’ll join a small, senior, high-trust group at the intersection of data science, operations, and AI infrastructure. Your work will directly shape how our members experience care, from the conversations they have with our guides to the technology that supports those interactions.
You’ll design, build, and evolve the data and ML systems that help our service teams deliver empathetic, efficient, and intelligent support. Your work will span applied machine learning, LLM evaluation, forecasting, and data architecture, always with a focus on measurable business impact and ethical use of automation.
This high-impact role reports into Devoted’s Data Science team and partners closely with Product Managers, Software Engineers, and Member Experience leaders to solve high-leverage problems for the company. You’ll help define the technical and strategic direction for how Devoted uses data to understand and improve every member interaction.
In this role, you will:
Design first-class scorecards for our Member Service Guides — applying data and behavioral science to reward quality, empathy, and resolution, not just efficiency metrics.
Own and evolve our internal workforce management platform, helping us move from reactive scheduling to predictive staffing, improving cost, service quality, and employee satisfaction.
Drive Devoted’s LLM platform infrastructure, developing intelligent agents, evaluation frameworks, and observability tooling to ensure our AI systems are explainable, measurable, and trustworthy.
Own and advance forecasting models that underpin key business decisions — from staffing and budgets to member growth projections — turning data into foresight, not just hindsight.
Collaborate deeply with engineering partners to ensure scalable, maintainable data pipelines and feature stores, while maintaining fast feedback loops with business stakeholders.
Mentor and learn from exceptional peers, fostering a culture that values curiosity, rigor, and speed in equal measure.
Required skills and experience
7+ years as a senior technical individual contributor in data science or ML architecture roles.
Strong background in Python and SQL, with fluency in modern data ecosystems (Snowflake, dbt, Looker).
Experience designing, building, and deploying machine learning models and LLM-based systems in production environments.
Demonstrated ability to translate ambiguous business problems into technical solutions with measurable impact.
Comfort building and optimizing scalable data pipelines, and performing deep-dive statistical and predictive analysis.
Excellent communication skills and the ability to partner effectively with non-technical stakeholders.
Desired skills and experience:
Member service operations, workforce management, or customer experience analytics.
Healthcare or regulated data environments, especially Medicare Advantage.
LLM evaluation frameworks, human-in-the-loop design, or AI ethics initiatives.
Modern data architecture patterns (event-driven design and feature stores)
Why this role is different
Short path to impact. You’ll work with world-class data and application engineers, no months lost to plumbing pipelines.
Ethics aren’t a footnote. You’ll set the standard for fairness, explainability, and responsible automation across our AI stack.
Senior peers, no bureaucracy. You’ll join a team that runs fast, thinks deeply, and values humility as much as brilliance.
Flexibility by design. Whether your superpower lies in modeling, architecture, or leadership, this role flexes to amplify it.
Salary range: $163,000-$243,000 base salary
#LI-TM1
Our ranges are purposefully broad to allow for growth within the role over time. 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 may 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
Bonus eligibility for all roles excluding Director and above; Commission eligibility for Sales roles
Parental leave program
401K program
And more....
*Our total rewards package is for full time employees only. Intern and Contract positions are not eligible.
Healthcare equality is at the center of Devoted’s mission to treat our members like family. We are committed to a diverse and vibrant workforce.
At Devoted Health, we’re on a mission to dramatically improve the health and well-being of older Americans by caring for every person like family. That’s why we’re gathering smart, diverse, and big-hearted people to create a new kind of all-in-one healthcare company — one that combines compassion, health insurance, clinical care, service, and technology - to deliver a complete and integrated healthcare solution that delivers high quality care that everyone would want for someone they love. Founded in 2017, we've grown fast and now serve members across the United States. And we've just started. So join us on this mission!
Devoted is an equal opportunity employer. We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted’s Code of Conduct, our company values and the way we do business.
As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.