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.
JoiningTeamRLDmeans being part of a global effort of over 2,000 team members in making a difference in healthcare…every day.
We’re searching for aRichmond-based Senior Data Scientistto join ourData Platformteam, so that we canlead the development of advanced data science models and scalable machine learning systems to power data-driven healthcare decisions.
TheSenior Data Scientistwilldesign, optimize, and implement intelligent algorithms and large-scale data pipelinestoenhance RLDatix’s ability to provide meaningful insights and solutions across its global product suite.
How You’ll Spend Your Time
- Designing and developing machine learning models, large language models, and algorithms to deliver meaningful insights from large datasets.
- Establishing and maintaining ETL workflows and data pipelines in order to ensure data consistency, quality, and usability across the platform.
- Optimizing machine learning models and AI systems to maximize performance, scalability, and real-world accuracy.
- Explaining complex data science concepts in order to engage stakeholders and promote data-driven decision-making across departments.
- Collaborating with engineers, QA, and product teams to align models and infrastructure with business goals.
What Kind of Things We’re Most Interested in You Having
- A bachelor's or master's degree in computer science, Data Science, AI, Software Engineering, or a related field is preferred.
- 5+ years of experience in a data-science related role, with hands-on experience in data science engineering.
- Proficiency in programming languages such as Python and SQL.
- Experience with data processing and analysis tools and technologies like TensorFlow, Keras, Scikit-learn.
- Strong understanding of large language models (LLMs) and machine learning (ML) algorithms and techniques.
- Familiarity with data visualization tools such as Power BI.
- Solid understanding of statistical analysis and hypothesis testing.
- Ability to work with structured and unstructured data sources.
- Knowledge of cloud computing platforms (AWS, Azure) and data security measures, including compliance with data governance standards and big data technologies.
- Experience with Databricks and Mosaic AI is plus.
By enabling flexibility in how we work and prioritizing employee wellness, we empower our team to do and be their best.
RLDatix is an equal opportunity employer, and our employment decisions are made without regard to race, color, religion, age, gender, sexual identity, national origin, disability, handicap, marital status or any other status or condition protected by UK law.
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
