Job description

Job Title: Data Engineer (Analytics/AI, College Hire) Location: Scottsdale, AZ (Hybrid – at least 2 days onsite) Company Overview: Savas Health is a leading provider of transdisciplinary pain management patient care and is launching electronic health record (EHR) software focused on coordinating multidisciplinary care. We are committed to providing exceptional patient care and dedicated to improving healthcare delivery through innovative technology. Position Overview: Are you passionate about building data-driven solutions that can directly impact patient care? Join our Data Engineering team, where we leverage cutting-edge analytics and machine learning solutions to improve how healthcare is delivered. We’re looking for a curious and motivated Data Engineer who thrives at the intersection of AI, Analytics, and real-world impact and who can handle the entire lifecycle — from raw data to deployed insights to supporting production Analytics/AI systems. You will play a key role in designing and deploying intelligent systems that support clinical decision-making and operational efficiency. Key Responsibilities • Design, build, and maintain data pipelines to support AI and analytics workflows • Develop and deploy AI models for Procedure Appropriateness Score (PAS) and Patient Scheduling optimization • Build and operationalize Predictive Analytics (e.g. forecasting which treatment is likely to succeed based on patient similarities) • Implement Prescriptive Analytics (e.g. as recommending optimal treatment paths based on historical outcomes and clinical guidelines) • Design and maintain data visualizations and dashboards to support insights and decision-making Qualifications • Bachelor’s or Master’s degree in Data Analytics, Artificial Intelligence, or a related field • Hands-on experience building ETL/ELT data pipelines and working with large datasets • Strong hands-on experience through academic or personal projects in: Python (especially scikit-learn, pandas), SQL, Cloud platforms (Azure or AWS), PySpark, and Databricks • Familiarity with core AI/ML methods such as: Logistic Regression, Recurrent Neural Networks (RNNs), Time Series Models Preferred Skills • Experience with Power BI, Azure Data Factory, Azure Functions and Azure SQL • Experience creating interactive dashboards and data visualizations • Exposure to real-world healthcare datasets or domain knowledge How to Apply • Submit resume and a 1-page summary detailing relevant coursework and project experience with the following requirement: strong hands-on experience through academic or personal projects in: Python (especially scikit-learn, pandas), SQL, Cloud platforms (Azure or AWS), PySpark, and Databricks. Interview Process • Initial HR Screen • Technical Round (1.5 hour in person in AZ/Scottsdale) . Submit a project presentation (including problem summary, architecture, design, and code structure) prior to the interview . Live presentation and Q&A during the technical interview What Sets Us Apart: Our team is mission-driven and united by a common purpose: healing humanity through a revolutionary transdisciplinary model. The model addresses the quadruple aim of healthcare: enhancing patient experience, improving patient health, reducing healthcare costs, and increasing employee satisfaction. We thrive on collaboration, and each member is a self-starter, empowered to unblock themselves and move forward with confidence. If you are passionate about impacting healthcare, enjoy taking initiative, and are comfortable with ambiguity, you’ll find a great fit with us. Salary: $60,000- $80,000 Benefits: • 401(k) • Dental insurance • Health insurance • Life insurance • Paid time off • Vision insurance Schedule: Monday - Friday 8-5 pm Work location: Phoenix, AZ (hybrid 2-3 days in office- must reside in Phenix to be considered)

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