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Kaiser Permanente · 3 weeks ago

Data Scientist IV - Medicare, ACA, Risk Adjustment

Oakland, CA

Full-time

Onsite

Senior Level

5+ years exp

Kaiser Permanente is seeking a Data Scientist IV to support prospective risk adjustment projects. This role involves designing and developing data pipelines, analyzing complex data sets, and collaborating with stakeholders to deliver statistical driven outcomes in a dynamic healthcare environment.

Health CareHospitalMental HealthNon ProfitPersonal Health

Comp. & Benefits

H1B Sponsor Likely

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 knowledge of database fundamentals

Analyzes and investigates complex data sets and summarizes key characteristics by employing data visualization methods; and determining how best to manipulate data sources to discover patterns, spot anomalies, test hypotheses, and/or check assumptions

Selects, manipulates, and transforms data into features used in machine learning algorithms by leveraging techniques to conduct dimensionality reduction, feature importance, and feature selection

Trains statistical models by using algorithms and data mining techniques; testing models with various algorithms to assess the input dataset and related features; and applying techniques to prevent overfitting such as cross-validation

Deploys and maintains reliable and efficient models through production

Verifies model performance by demonstrating expertise in the practice of a variety of model validation techniques to assess and discriminate the goodness of model fit; and leveraging feedback and output to manage and strengthen model performance

Collaborates with internal and external stakeholders across domains to develop and deliver statistical driven outcomes by delivering insights and values from heterogeneous data to investigate complex problems for multiple use cases; driving informed decision-making; and presenting findings to both technical and non-technical audiences

Qualification

Machine LearningStatistical AnalysisData VisualizationSQLPythonRData ManipulationData ModelingDeep LearningDesign ThinkingBusiness IntelligenceKubernetesDockerProject ManagementStrategic Thinking

Required

Minimum three (3) years experience working with Exploratory Data Analysis (EDA) and visualization methods

Minimum three (3) years machine learning and/or algorithmic experience

Minimum three (3) years statistical analysis and modeling experience

Minimum three (3) years programming experience

Minimum one (1) year experience in a leadership role with or without direct reports

Bachelors degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Public Health, or related field AND Minimum five (5) years experience in data science or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement. Advanced degrees may be substituted for the work experience requirements

Knowledge, Skills, and Abilities (KSAs): Advanced Quantitative Data Modeling; Algorithms; Applied Data Analysis; Data Extraction; Data Visualization Tools; Machine Learning; Relational Database Management; Microsoft Excel; Design Thinking; Business Intelligence Tools; Data Manipulation/Wrangling; Data Ensemble Techniques; Feature Analysis/Engineering; Open Source Languages & Tools; Model Optimization; Strategic Thinking; Deep Learning/Neural Networks; Project Management

Preferred

One (1) year experience working with Kubernetes

One (1) year experience working with Docker

Company

Kaiser Permanente

Glassdoor3.9

Kaiser Permanente is a health organization that offers disease prevention, mental healthcare, and chronic disease management services.

Founded in 1945

Oakland, California, USA

10001+ employees

https://healthy.kaiserpermanente.org

H1B Sponsorship

Kaiser Permanente has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (3)

2024 (1)