Data Scientist III

About the Role

This individual contributor role focuses on designing and developing data pipelines and automation for data acquisition and ingestion from multiple sources and formats. The position involves developing detailed problem statements, analyzing data sets, transforming data into features for machine learning, training statistical models, deploying and maintaining models in production, and collaborating with stakeholders to deliver data-driven outcomes.

Responsibilities

• Develop detailed problem statements outlining hypotheses and their impact on target clients/customers, including scope, objectives, and metrics.
• Participate in designing and developing data pipelines and automation for acquiring and ingesting raw data from diverse sources and formats under senior guidance.
• Transform, cleanse, and store data for downstream processes; write and optimize SQL queries; demonstrate database fundamentals.
• Analyze and investigate data sets, summarize key characteristics, and use data visualization to discover patterns, spot anomalies, test hypotheses, or check assumptions.
• Select, manipulate, and transform data into features for machine learning algorithms using techniques like dimensionality reduction, feature importance, and feature selection.
• Train statistical models under senior guidance using algorithms and data mining techniques; test models to assess input datasets and prevent overfitting (e.g., cross-validation).
• Deploy and maintain reliable, efficient models in production.
• Verify model performance using validation techniques to assess and improve model fit.
• Collaborate with internal and external stakeholders to deliver statistical-driven outcomes, present findings to technical and non-technical audiences, and drive informed decision-making.
• Build effective relationships by proactively sharing resources, information, and expertise; seek and address performance feedback; mentor team members.
• Pursue self-development, adapt to change, and support team priorities, deadlines, and improvement opportunities.
• Complete work assignments autonomously, ensuring adherence to policies and leveraging data expertise to support projects.
• Collaborate cross-functionally, escalate issues or risks, and communicate progress.

Requirements

• Minimum two (2) years of experience with Exploratory Data Analysis (EDA) and visualization methods.
• Minimum one (1) year of machine learning and/or algorithmic experience.
• Minimum two (2) years of statistical analysis and modeling experience.
• Minimum two (2) years of programming experience.
• Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, Economics, Public Health, or a related field AND minimum three (3) years of experience in data science or a directly related field.
• Equivalent work experience may substitute for the degree requirement; advanced degrees may substitute for work experience.

Preferred Qualifications

• One (1) year of experience in a leadership role with or without direct reports.
• One (1) year of healthcare experience.

Skills

Core Skills

• Ambiguity/Uncertainty Management
• Attention to Detail
• Business Knowledge
• Communication
• Critical Thinking
• Cross-Group Collaboration
• Decision Making
• Dependability
• Diversity, Equity, and Inclusion Support
• Drives Results
• Facilitation Skills
• Health Care Industry Knowledge
• Influencing Others
• Integrity
• Learning Agility
• Organizational Savvy
• Problem Solving
• Short- and Long-term Learning & Recall
• Teamwork
• Topic-Specific Communication

Functional Skills

• Advanced Quantitative Data Modeling
• Algorithms
• Applied Data Analysis
• Business Intelligence Tools
• Data Ensemble Techniques
• Data Extraction
• Data Manipulation/Wrangling
• Data Visualization Tools
• Design Thinking
• Feature Analysis/Engineering
• Machine Learning
• Microsoft Excel
• Model Optimization
• Open Source Languages & Tools
• Relational Database Management

Benefits

Kaiser Permanente strives to offer a market-competitive total rewards package and is committed to pay equity and transparency.

Pay

The posted pay range for this role is $131,300 – $169,840 per year. Actual base pay will be determined based on labor market data, internal alignment, and a candidate’s relevant work experience, education, certifications, skills, and geographic location.

Schedule

• Full-time, standard schedule.
• Shift: Day (Monday – Friday, 09:00 AM – 05:00 PM).
• Scheduled weekly hours: 40.
• Work setting: Remote (worker location must align with Kaiser Permanente’s Authorized States policy).
• No travel required.