RLDatix is looking to hire a Data Scientist to deliver predictive models, intelligent data pipelines, and actionable insights to improve patient outcomes and operational efficiency within healthcare organizations.
Requirements
- Mid-level experience in data science, machine learning, or a related role, ideally within SaaS or healthcare
- Proven success in building and deploying end-to-end data solutions (from pipeline to predictive model to production)
- In-depth knowledge of statistical analysis, regression, time-series forecasting, clustering, and experimental design
- Applied experience with SQL, Python (or R), and distributed data technologies (e.g., Spark, Hadoop, Kafka, or cloud platforms such as AWS/GCP/Azure)
- Demonstrated ability to troubleshoot and debug data workflows while maintaining system scalability and availability
Responsibilities
- Develop statistical models and machine learning algorithms to support predictive analytics, forecasting, and decision-making in healthcare operations
- Extract, clean, and transform complex datasets using SQL, Python, and modern ETL frameworks in order to deliver reliable, scalable data pipelines
- Design and implement experiments and hypothesis tests to validate product impact and optimize customer outcomes
- Collaborate with engineers, product managers, and clinical experts to translate business questions into data-driven solutions
- Implement monitoring, validation, and alerting tools to ensure data quality, accuracy, and system reliability
Other
- Sincere interest in using data science to improve healthcare outcomes and operational efficiency
- A knack for working collaboratively across technical and non-technical teams in a fast-paced, global environment
- Hybrid work arrangement in Lehi, Utah
- US-based
- Equal opportunity employer
