Data Scientist

RLDatix•Lehi, UT

5h•Hybrid

About The Position

RLDatix (RLD) 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 Lehi, UT based Data Scientist, to join our AI/Analytics team, so that we can deliver the best tools to satisfy our customer needs around our Patient Experience platform. This is an opportunity to work closely with data scientists, engineers, product leaders, and healthcare experts to design, build, and deploy production machine learning models and scalable data pipelines that power predictive healthcare analytics across a global product suite.

Requirements

A bachelor’s or master’s degree in Data Science, Statistics, CS, or a related field.
3–5+ years of experience in applied data science or machine learning engineering roles, including hands-on experience deploying and maintaining models in production.
Strong proficiency in Python and SQL.
Experience building and training models using frameworks such as TensorFlow, Keras, and scikit-learn, and working with cloud data warehouses such as BigQuery (or equivalent).
Solid understanding of machine learning techniques including neural networks, gradient boosted trees, and ensemble methods.
Strong grounding in statistical analysis, including handling imbalanced datasets, precision/recall tradeoffs, and hypothesis testing.
Experience working with structured and semi-structured healthcare data, including medical coding systems.
Experience designing and deploying data or machine learning systems in a cloud environment (GCP, AWS, or Azure) with an understanding of data security and governance best practices.

Nice To Haves

Experience with Google Cloud Platform and Vertex AI is a strong plus.

Responsibilities

Own machine learning models end-to-end, from data exploration and experimentation through production deployment, monitoring, and iteration.
Design, train, and evaluate machine learning models using TensorFlow, Keras, and scikit-learn (or equivalent Python ML frameworks) to predict healthcare events and identify patients needing specific treatments, screenings, and interventions across multiple medical specialties.
Work with large-scale healthcare and consumer datasets (millions+ of records)
Build and maintain ETL workflows and data pipelines in BigQuery and Python to ensure data consistency, quality, and usability across complex healthcare datasets including EHR data, medical coding systems, and patient demographics.
Continuously evaluate, tune, and improve models in production through hyperparameter optimization, performance monitoring, and error analysis to maximize accuracy, scalability, and real-world impact.
Implement patient matching algorithms using deterministic and probabilistic techniques to link patient records across disparate healthcare systems.
Partner closely with engineering, QA, and product teams to align models and infrastructure with business goals while maintaining high standards for production code quality and system reliability.
Clearly communicate technical concepts and model results to both technical and non-technical stakeholders to drive data-informed decisions.