RLDatix · 7 hours ago
Data Scientist
RLDatix is on a mission to help raise the standard of care in healthcare. The Data Scientist will join the Analytics & Insights team to develop predictive models and intelligent data pipelines to enhance patient outcomes and operational efficiency.
Computer Software
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
Qualification
Required
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
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
Benefits
Health
Dental
Vision
Life
Disability insurance
401K
Paid time off
Paid holidays
Company
RLDatix
At RLDatix, we believe that what flows through our software is more than bits and bytes — it’s human lives.
Funding
Current Stage
Late StageCompany data provided by crunchbase