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Healthcare Decision Scientist
Cambia Health Solutions. Design and execute analyses that identify business improvement opportunities and connect data, performance, and strategy .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in quantitative analysis, advanced analytics, and machine learning techniques to drive business improvement and decision-making. Proficient in developing predictive models and collaborating with cross-functional teams to embed insights into workflows.
Highest-signal resume keywords
Master's Degree In Quantitative FieldAdvanced Analytics ExperienceProficiency In PythonMachine Learning KnowledgeSQL Query Creation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
XGBoostRegressionClusteringForecastingAnomaly DetectionCausal AnalysisPredictive ModelingDescriptive StatisticsStatistical InferenceMultivariate Modeling
Soft Skills
Excellent Oral CommunicationExcellent Written CommunicationCross-Functional CoordinationTime Management
Tools & Technologies
RPower BITableauMachine Learning FrameworksCI/CD Practices
Industry Keywords
Decision ScienceData MiningNLPDeep LearningMLOpsAgentic AIMixed Methods Research
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Design and execute analyses that identify business improvement opportunities and connect data, performance, and strategy
- Collaborate with sales, operational, clinical, finance, and provider stakeholders to structure ambiguous challenges into analytical questions
- Identify decision options, tradeoffs, risks, and expected outcomes
- Select and apply techniques including XGBoost, regression, clustering, forecasting, anomaly detection, causal analysis, and experimental design
- Develop predictive, descriptive, classification, segmentation, and optimization models
- Partner with business teams to embed insights into workflows, measure intervention impact, and refine approaches
- Present findings and facilitate decision-making discussions with leaders and non-technical audiences
- Develop scalable analytical frameworks and decision-support capabilities
- Contribute to MLOps, model monitoring, and agentic AI evaluation
- Incubate and evolve agentic intelligence capabilities
- Decision Scientist III: pursue larger-scope projects, improve methods and algorithms, educate stakeholders, secure buy-in, and mentor junior Decision Scientists
Requirements
What you’ll need- Decision Scientist II: Master's degree in a strongly quantitative field and 3+ years of progressive, related work experience; or BA/BS degree with 5 years of related work experience in lieu of an advanced degree
- Decision Scientist III: Master's degree in a strongly quantitative field and 5+ years of progressive, related work experience; or BA/BS degree with 8 years of related work experience in lieu of an advanced degree
- Strongly quantitative field such as Statistics, Applied Mathematics, Physics, Operations Research, Computer Science, Bioinformatics, or Econometrics
- Familiarity with mixed methods research and experience in at least two advanced analytics, data mining/NLP/machine learning/deep learning areas
- Experience cleaning, aggregating, and pre-processing varied data and creating complex SQL queries
- Quantitative analysis including forecasting, descriptive statistics, statistical inference, and multivariate modeling
- Ability to analyze qualitative data and incorporate it into quantitative analyses
- Proficiency with R, Power BI, or Tableau and at least one statistical/analytical programming tool such as Python or R
- Project experience with machine learning, data mining, analytical models, and algorithms
- Fundamental software engineering practices including version control, unit testing, and CI/CD
- Ability to process structured and unstructured data in various databases and formats
- Experience coordinating cross-functionally and managing time and tasks
- Excellent oral and written communication skills
- Decision Scientist II: advanced machine learning knowledge, end-to-end ML model maintenance, minimal-direction work, ambiguous problem definition, and technical leadership
- Decision Scientist III: batch, streaming, and real-time systems; evaluation of ML research and frameworks; semi-supervised, reinforcement, transfer, and graph-based learning; ML lifecycle and pipeline development; team leadership without direct supervisory responsibility
- AI tools and technologies experience highly desired
- Ability to work in a hybrid arrangement three days per week in the office
- Background check required
- New hires must have access to a personal mobile device for MFA and a wired internet connection meeting stated speed requirements for work-from-home options
Benefits
Comp & perks- Competitive base pay
- Bonus opportunities
- Market-leading 401(k) with a significant company match
- Potential discretionary 401(k) contribution based on company performance with no vesting period
- 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
- 10 company-paid holidays
- Up to 12 weeks of paid parental time off (eligibility requires 12 months of continuous service with Cambia immediately preceding leave)
- Award-winning wellness programs that reward participation
- Employee Assistance Fund
- Commute and parking benefits
- Flexible work from home options for most roles
- Employee resource groups
- Cambia-supported outreach programs
- Career growth and professional development opportunities