Job Description

Data Scientist

RLDatix is on a mission to help raise the standard of care everywhere. Trusted by over 10,000 healthcare organizations around the world, our solutions help improve health and care. Our applications ensure that patients receive the best and safest care while supporting the providers who deliver it. Joining TeamRLD means being part of a global effort of over 2,000 team members in making a difference in healthcare every day. We're searching for a US-based Data Scientist to join our Analytics & Insights team, so that we can deliver predictive models, intelligent data pipelines, and actionable insights to improve patient outcomes and operational efficiency. The Data Scientist will design, implement, and scale advanced statistical and machine learning solutions to help healthcare organizations make better, data-driven decisions.

How You'll Spend Your Time

• 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

What Kind of Things We're Most Interested in You Having

• 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

By enabling flexibility in how we work and prioritizing employee wellness, we empower our team to do and be their best. Our benefits package includes health, dental, vision, life, disability insurance, 401K, paid time off, and paid holidays. RLDatix is an equal opportunity employer, and our employment decisions are made without regard to race, color, religion, age, gender, national origin, disability, handicap, marital status or any other status or condition protected by Federal and/or State laws. As part of RLDatix's commitment to the inclusion of all qualified individuals, we ensure that persons with disabilities are provided reasonable accommodation in the job application and interview process. If reasonable accommodation is needed to participate in either step, please don't hesitate to send a note to [email protected]. Salary offers are based on a wide range of factors including location, relevant skills, training, experience, education, and, where applicable, licenses or certifications obtained. Market and organizational factors are also taken into consideration. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, age, marital status, pregnancy, genetic information, or other legally protected status.

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