Data ScientistSavas Software/Lifekind Health is seeking a technically strong, impact-driven Data Scientist with experience building ML-based predictive products and advanced analytics in real-world environments. In this role, you will work with diverse and complex healthcare datasets—EHR, scheduling, billing, claims, structured & unstructured clinical data—to design, train, and deploy machine learning models that directly influence patient care, operational performance, and clinical efficiency.This is a high-ownership, hands-on role where you'll help shape our intelligent data platform, build production-ready features, experiment with models, and collaborate with engineering teams to deploy AI products. If you enjoy solving messy, high-impact healthcare problems using AI, this role is for you.This is not a remote position.
You must live in the Scottsdale, AZ area and work in our office 3 days per week. Relocation assistance is not available. Visa sponsorship is not available.Our mission is to bring care that's whole, human, and healing.
Blending medical, behavioral, and lifestyle support into a single plan because restoring life takes more than a prescription.Savas Software is a pioneering healthcare technology company dedicated to transforming clinical operations through innovative, integrated software solutions. Our mission is to empower healthcare organizations with tools that streamline workflows, enhance patient care, and ensure operational continuity. Through a unified approach to development, support, architecture, and enablement, we help clinics focus on what matters most—patient outcomes.Machine Learning & Predictive AnalyticsDevelop and deploy AI/ML models that power key products such as:Procedure AppropriatenessPatient no-show predictionAppointment optimizationClinical risk stratificationPatient adherence forecastingProvider utilization and throughput predictionPerform feature engineering using clinical, operational, and financial dataExperiment with algorithms (tree-based models, GLMs, ensemble methods, NLP, deep learning where appropriate)Evaluate models using rigorous statistical and ML performance metricsCollaborate with ML Engineering to productionize models on AzureTechnical Environment (Azure AI/ML & Analytics)You'll work within a modern AI/ML and analytics stack, including:LLMs: Open AI, Anthropic ClaudeCore Languages: Python, SQLLibraries & Frameworks: Scikit-learn, XGBoost, LightGBM, Pandas, NumPy, NLP librariesVisualization: Power BI, Plotly, Matplotlib, SeabornData Analysis & InsightsConduct exploratory data analysis (EDA) on EHR, scheduling, billing, and procedural data to uncover trends, biases, and quality issuesTranslate clinical guidelines and workflows into computable, data-driven logicGenerate actionable insights that drive clinical and operational decision-makingData & Feature PipelinesTransform raw healthcare data into modeling-ready datasets (structured + unstructured)Implement data validation, quality checks, and scalable transformation logicCollaborate with Data Engineering to ensure high-quality, well-governed data pipelinesLLMs, NLP & Unstructured Data (Nice-to-Have but Valuable)Work with LLMs (Open AI, Anthropic Claude) to research and conceptualize recommendationsApply basic NLP techniques to extract signal from clinical notes and operational textExplore entity extraction, rule-based labeling, embedding-based features, etc.Visualizations & StorytellingCreate dashboards and data visualizations using Power BI or Python to communicate insightsPresent findings and recommendations to clinicians, operations leaders, and executivesWhat Success Looks LikeProduction-ready ML models that drive measurable improvements in clinical operationsHigh-quality datasets, features, and reproducible pipelines powering our AI platformActionable insights that influence patient outcomes and reduce operational frictionAbility to independently drive complex data projects end-to-end with minimal supervisionOur Ideal Candidate Will Have The Following Qualifications:2 or more years of experience in data science, machine learning, or applied analyticsStrong Python + advanced SQL skills for data manipulation, modeling, and EDAExperience developing and evaluating ML models in real-world environmentsExperience with healthcare datasets (EHR, claims, clinical notes, billing, scheduling) is a strong advantageFamiliarity with HIPAA, PHI handling, and healthcare data governanceStrong understanding of feature engineering, statistical methods, and model validationAbility to clearly communicate technical concepts to non-technical stakeholdersExposure to Prompt Engineering and working with LLMs (Open AI, Anthropic Claude) preferredExperience with Azure Data Factory, Azure Functions, Azure Open AI preferredMaster's degree in Data Science, CS, Statistics, Biomedical Informatics, or related field preferredGenerous Salary And Benefits Package Includes:Medical, dental, and vision coverage options for you and eligible dependentsFree basic Life/AD&D, Short-Term, and Long-Term Disability policies for those enrolled in medical, plus additional voluntary coverage options401(k) Retirement planMedical and Dependent Care Flexible Spending AccountsGenerous vacation, sick, and holiday benefitsLifekind Health and Savas Software are an Equal Opportunity Employer.
We value a diverse workforce and inclusive workplace. People of color, people with disabilities, and lesbian, gay, bisexual, and transgender people are encouraged to apply. We consider all applicants without regard to race, color, ancestry, religion, gender, gender identity, gender expression, national origin, age, disability, socio-economic status, marital or veteran status, pregnancy status or sexual orientation.