Data Scientist

Savas Software/Lifekind Health is seeking a technically strong impact-driven Data Scientist with experience building ML-based predictive products and advanced analytics (including LLM based) in real-world this role you will work with diverse and complex healthcare datasetsEHR scheduling billing claims structured & unstructured clinical datato 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 youll 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 thats 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 mostpatient outcomes.

Machine Learning & Predictive Analytics:

• Develop and deploy AI/ML models that power key products such as:

• Procedure Appropriateness
• Patient no-show prediction
• Appointment optimization
• Clinical risk stratification
• Patient adherence forecasting
• Providerutilizationand throughput prediction

• Perform feature engineering using clinical operational and financial data
• Experiment with algorithms (tree-based models GLMs ensemble methods NLP deep learning whereappropriate)
• Evaluate models using rigorous statistical and ML performance metrics
• Collaborate with ML Engineering to productionize models on Azure

Technical Environment (Azure AI/ML & Analytics):

Youll work within a modern AI/ML and analytics stack including:

• LLMs:Open AI Anthropic Claude
• Core Languages:Python SQL
• Libraries & Frameworks:Scikit-learnXGBoostLightGBM Pandas NumPy NLP libraries
• Visualization:Power BI Plotly Matplotlib Seaborn

Data Analysis & Insights:

• Conduct exploratory data analysis (EDA) on EHR scheduling billing and procedural data to uncover trends biases and quality issues
• Translate clinical guidelines and workflows into computable data-driven logic
• Generate actionable insights that drive clinical and operational decision-making

Data & Feature Pipelines:

• Transform raw healthcare data into modeling-ready datasets (structured unstructured)
• Implement data validation quality checks and scalable transformation logic
• Collaborate with Data Engineering to ensure high-quality well-governed data pipelines

LLMs NLP & Unstructured Data (Nice-to-Have but Valuable):

• Work with LLMs (Open AI Anthropic Claude) to research and conceptualize recommendations
• Apply basic NLP techniques to extractsignalfrom clinical notes and operational text
• Explore entity extraction rule-based labeling embedding-based features etc.

Visualizations & Storytelling:

• Create dashboards and data visualizations using Power BI or Python to communicate insights
• Present findings and recommendations to clinicians operations leaders and executives

What Success Looks Like:

• Production-ready ML models that drive measurable improvements in clinical operations
• High-quality datasets features and reproducible pipelinespoweringour AI platform
• Actionable insights that influence patient outcomes and reduce operational friction
• Ability to independently drive complex data projects end-to-end with minimal supervision

Our Ideal Candidate will have the following qualifications:

• 2 or more years of experience in data science machine learning or applied analytics
• Strong Python advanced SQL skills for data manipulation modeling and EDA
• Experience developing and evaluating ML models in real-world environments
• Experience with healthcare datasets (EHR claims clinical notes billing scheduling) is a strong advantage
• Familiarity with HIPAA PHI handling and healthcare data governance
• Strong understanding of feature engineering statistical methods and model validation
• Ability to clearly communicate technical concepts to non-technical stakeholders
• Exposure to Prompt Engineering and working with LLMs (Open AI Anthropic Claude) preferred
• Experience with Azure Data Factory Azure Functions Azure Open AI preferred
• Masters degree in Data Science CS Statistics Biomedical Informatics or related field preferred

Generous salary and benefits package includes:

• Medical dental and vision coverage options for you and eligible dependents
• Free basic Life/AD&D Short-Term and Long-Term Disability policies for those enrolled in medical plusadditionalvoluntary coverage options
• 401(k) Retirement plan
• Medical and Dependent Care Flexible Spending Accounts
• Generous vacation sick and holiday benefits

Lifekind 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.