Senior Data Scientist, Risk Adjustment - Medicare/Medicaid

Kaiser Permanente; Oakland (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

KAISER Permanente in Oakland, CA, is seeking a Data Scientist IV for Risk Adjustment in Medicare, Medicaid, ACA. This senior individual contributor will architect data pipelines, apply ML and statistical methods, and deploy models to improve risk score accuracy across programs.

You will collaborate with clinical, actuarial, and operational teams, mentor junior data scientists, and promote a data-driven culture to inform strategic decisions. Proficiency in Python and cloud analytics is required.

Qualifications

• Experience with Exploratory Data Analysis (EDA) and visualization methods.
• Machine learning and/or algorithmic experience.
• Statistical analysis and modeling experience.
• Programming experience in relevant languages.
• Bachelor's degree + 5+ years in data science or related field.

Responsibilities

• Designs and develops data pipelines and automation for data acquisition and ingestion of raw data from multiple sources; transforming, cleansing, and storing data for downstream processes; writing and optimizing SQL queries.
• Analyzes and investigates complex data sets and summarizes key characteristics; applies data visualization to reveal patterns and outliers.
• Selects, manipulates, and transforms data into features for machine learning algorithms; uses dimensionality reduction and feature selection.
• Trains statistical models, tests with various algorithms, and prevents overfitting via cross-validation.
• Deploys and maintains models in production and verifies performance using diverse validation techniques.
• Collaborates with internal and external stakeholders to deliver statistically driven outcomes and communicate findings.

Skills

EDA and visualization

Machine learning/algorithms

Statistical analysis/modeling

Programming

Leadership

Education

Bachelor's degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Public Health, or related field

Tools

Kubernetes

Docker

Microsoft Excel

Job description

KAISER Permanente in Oakland, CA, is seeking a Data Scientist IV for Risk Adjustment in Medicare, Medicaid, ACA. This senior individual contributor will architect data pipelines, apply ML and statistical methods, and deploy models to improve risk score accuracy across programs.

You will collaborate with clinical, actuarial, and operational teams, mentor junior data scientists, and promote a data-driven culture to inform strategic decisions. Proficiency in Python and cloud analytics is required.