Healthcare Decision Scientist

Hybrid role (3 days/week in office) at our Salt Lake City, Boise, Fargo, Portland, Vancouver, Renton, Medford, Burlington, Lewiston, Little Rock, or Springdale offices. Preference given to current employees and candidates residing within a commutable distance of Salt Lake City, Boise, Fargo, Lewiston, Little Rock, or Springdale offices, or willing to relocate.

About the Role

As a member of the Data & Analytics team, Decision Scientists partner with business leaders to frame ambiguous challenges, apply advanced analytics and machine learning, and translate complex insights into clear, actionable recommendations — all in service of creating an economically sustainable health care system.

Qualifications

Decision Scientist II

• Master's degree (PhD preferred) in a strongly quantitative field (Statistics, Applied Mathematics, Physics, Operations Research, Computer Science, Bioinformatics, Econometrics) and 3+ years progressive related work experience
• In lieu of advanced degree: BA/BS with 5 years related work experience

Decision Scientist III

• Master's degree (PhD preferred) in a strongly quantitative field and 5+ years progressive related work experience
• In lieu of advanced degree: BA/BS with 8 years related work experience

Skills and Attributes

• Creative thinking and strong analytical skills; ability to analyze complex situations independently and in teams, learn quickly, synthesize solutions
• Familiarity with mixed methods research; experience in at least two of:
  • Advanced analytics (statistics, simulation, optimization, time series, longitudinal studies, life event modeling)
  • Data mining, NLP, machine learning (regression, clustering, neural networks, kernel methods, dimensionality reduction, ensemble methods, decision trees) and deep learning (CNN, LSTM, GAN)
  • Building solutions with data mining, statistics, analysis, and scripting tools (e.g., Python)
• Experience cleaning, aggregating, pre-processing data from varied sources; creating complex SQL queries for standard and ad-hoc data mining
• Demonstrated ability to apply quantitative analysis to business situations: forecasting, descriptive statistics, statistical inference, multivariate modeling
• Ability to analyze and interpret qualitative data and incorporate insights into quantitative analyses
• Proficiency with BI and analysis tools (R, Power BI, Tableau) and at least one statistical/analytical programming tool (Python, R, etc.)
• Project experience with machine learning, data mining, constructing analytical models and algorithms
• Experience with fundamental software engineering practices (version control, unit testing, CI/CD)
• Ability to access and process structured and unstructured data in various databases and formats
• Ability to coordinate cross-functionally and manage time/tasks effectively
• Excellent oral and written communication skills for diverse audiences including leadership

Additional for Decision Scientist II

• Proven ability to provide analysis and data interpretation supporting strategy development, program implementation, and evaluation
• Deep understanding of ML algorithms and when to apply them
• Ability to maintain end-to-end ML models
• Ability to work with minimal direction
• Ability to distill informal requirements into problem definitions amid ambiguity
• Recognized as a technical leader by peers

Additional for Decision Scientist III

• Ability to design systems across batch, streaming, and real-time processing
• Ability to evaluate cutting-edge ML research and frameworks
• Familiarity with semi-supervised, reinforcement, transfer, and graph-based learning
• Ability to simplify and improve the full ML model life cycle
• Strong facilitation and consensus-building skills; proven ability to influence others
• Ability to build ML pipelines through full ML cycles
• Ability to effectively lead teams without direct supervisory responsibility

Experience with AI tools and technologies to enhance productivity and decision-making in professional settings highly desired.

Responsibilities

• Design and execute analyses that uncover opportunities for business improvement and connect data, performance, and business strategy
• Collaborate with stakeholders across sales, operational, clinical, finance, and provider functions to frame ambiguous challenges into structured analytical questions, identifying decision options, tradeoffs, risks, and expected outcomes
• Select and apply appropriate analytical techniques (e.g., XGBoost, regression, clustering, forecasting, anomaly detection, causal analysis, experimental design) to develop predictive, descriptive, classification, segmentation, and optimization models balancing sophistication with practical applicability
• Partner with business teams to embed insights into operational workflows, measuring intervention impact and refining approaches to deliver measurable business value
• Present findings and facilitate decision-making conversations with leaders at all levels, translating complex analytical concepts into clear, actionable recommendations for non-technical audiences
• Develop scalable analytical frameworks and decision-support capabilities; contribute to MLOps, model monitoring, and agentic AI evaluation to ensure ongoing accuracy and reliability of deployed solutions
• Incubate and evolve agentic intelligence capabilities that augment analytical insights and operationalize predictive modeling outputs
• For Decision Scientist III: Take initiative to pursue larger-scope projects, recommend improvements to methods and complex algorithms, educate stakeholders to drive organizational buy-in, and mentor junior Decision Scientists

Pay

Pay ranges vary based on candidate's work location, skills, experience, education, training, relevant licensure/certifications, and performance history.

National Pay Structure

Applies to Boise, Portland, Salem, Seattle/Renton/Tacoma, Burlington, Vancouver, Lewiston, and Salt Lake City metro areas:

• Healthcare Decision Scientist II: $105,000–$172,000; bonus target 10%
• Healthcare Decision Scientist III: $129,000–$211,000; bonus target 15%

Regional Pay Structure

Applies to North Dakota and Idaho, Oregon, Washington, Utah locations outside the metro areas above:

• Healthcare Decision Scientist II: $95,000–$155,000; bonus target 10%
• Healthcare Decision Scientist III: $116,000–$190,000; bonus target 15%

Benefits

• Medical, dental, and vision coverage for employees and eligible family members, including mental health benefits
• Annual employer contribution to a health savings account
• Generous paid time off varying by role and tenure, plus 10 company-paid holidays
• Market-leading retirement plan: company match on employee 401(k) contributions, potential discretionary contribution based on company performance (no vesting period)
• Up to 12 weeks paid parental time off (eligibility requires 12 months continuous service immediately preceding leave)
• Award-winning wellness programs rewarding participation
• Employee Assistance Fund
• Commute and parking benefits

Work Arrangement