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Data Scientist IV - Medicare, ACA, Risk Adjustment

Remote / Online - Candidates ideally in
Oakland, Alameda County, California, 94616, USA
Listing for: Kaiser Permanente
Remote/Work from Home position
Listed on 2025-12-20
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 140000 USD Yearly USD 100000.00 140000.00 YEAR
Job Description & How to Apply Below

Remote from any KP location in CA, OR, CO, WA, GA, MD, VA, HI or D.C. Only.

Overview

The Prospective Risk Adjustment Operations team is seeking a Data Scientist to support scoping, deploying, and reporting out on projects to support prospective risk adjustment projects. This pivotal role will support the development of foundational reporting and analytical frameworks crucial for identifying and prioritizing prospective risk initiatives, developing and supporting comprehensive reporting and insightful visualization of opportunities and outcomes, and directly supporting strategic decision-making and operational excellence.

Ideal candidates will possess robust analytical skills and a proven ability to translate complex data into actionable business intelligence within a dynamic healthcare environment. This position offers a significant opportunity to contribute to the organization's continued success in risk adjustment.

This role requires a background in technical coding (i.e SQL, Python, R etc.) or other statistical modeling programs. Familiarity with data science disciplines (i.e machine learning, predictive analytics, data visualization etc.), data modeling is preferred.

Job Summary

This individual contributor is primarily responsible for designing and developing data pipelines and automation for data acquisition and ingestion of raw data from multiple data sources and data formats by transforming, cleansing, and storing data for consumption. This role is also responsible for developing detailed problem statements outlining hypotheses and their effect on target clients/customers, analyzing and investigating complex data sets and summarizing key characteristics, selecting, manipulating and transforming data into features used in machine learning algorithms, training statistical models, deploying and maintaining reliable and efficient models through production, verifying model performance, and collaborating with internal and external stakeholders across domains to develop and deliver statistical driven outcomes.

Essential

Responsibilities
  • Promotes learning in others by proactively providing and/or developing information, resources, advice, and expertise with coworkers and members; builds relationships with cross‑functional/external stakeholders and customers. Listens to, seeks, and addresses performance feedback; proactively provides actionable feedback to others and to managers. Pursues self‑development; creates and executes plans to capitalize on strengths and develop weaknesses; leads by influencing others through technical explanations and examples and provides options and recommendations.

    Adopts new responsibilities; adapts to and learns from change, challenges, and feedback; demonstrates flexibility in approaches to work; champions change and helps others adapt to new tasks and processes. Facilitates team collaboration to support a business outcome.
  • Completes work assignments autonomously and supports business‑specific projects by applying expertise in subject area and business knowledge to generate creative solutions; encourages team members to adapt to and follow all procedures and policies. Collaborates cross‑functionally and/or externally to achieve effective business decisions; provides recommendations and solves complex problems; escalates high‑priority issues or risks, as appropriate; monitors progress and results. Supports the development of work plans to meet business priorities and deadlines;

    identifies resources to accomplish priorities and deadlines. Identifies, speaks up, and capitalizes on improvement opportunities across teams; uses influence to guide others and engages stakeholders to achieve appropriate solutions.
  • Develops detailed problem statements outlining hypotheses and their effect on target clients/customers by defining scope, objectives, outcome statements and metrics.
  • Designs and develops data pipelines and automation for data acquisition and ingestion of raw data from multiple data sources and data formats by transforming, cleansing, and storing data for consumption by downstream processes; writing and optimizing diverse SQL queries; and demonstrating advanced…
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