Data Scientist

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.

RLDatix is an equal opportunity employer. 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 inclusion, we provide reasonable accommodation for persons with disabilities in the job application and interview process. For accommodation needs, please contact accessibility@rldatix.com.

Introduction

RLDatix (RLD) is dedicated to elevating healthcare standards globally. Trusted by over 10,000 healthcare organizations worldwide, our solutions enhance health and care delivery, ensuring patients receive the safest and best care while supporting providers. Joining TeamRLD means contributing to a global mission with over 2,000 team members, making a daily impact on healthcare.

We are seeking a Data Scientist based in Lehi, UT, to join our AI/Analytics team. This role will focus on developing top-tier tools for our Patient Experience platform. You'll collaborate closely with data scientists, engineers, product leaders, and healthcare experts to design, build, and deploy production-ready machine learning models and scalable data pipelines for predictive healthcare analytics across our global product suite.

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.

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, 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 Have

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

Benefits

• Flexible work arrangements.
• Prioritization of employee wellness.
• Health, dental, vision, life, and disability insurance.
• 401K.
• Paid time off and paid holidays.

About Company

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.

RLDatix is an equal opportunity employer. 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 inclusion, we provide reasonable accommodation for persons with disabilities in the job application and interview process. For accommodation needs, please contact accessibility@rldatix.com.

How to Apply

Salary offers are based on a wide range of factors including location, relevant skills, training, experience, education, and, where applicable, licensure or certifications obtained. Market and organizational factors are also taken into consideration. Please apply via the provided link.