Senior Data Scientist

United StatesRemoteFull-timesenior

Data ScientistData

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Requirements Summary

3+ years of industry experience developing, launching, and maintaining machine learning systems in production at scale. At least 1 year of experience developing and tuning LLM systems.

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Data ScientistData

Join a mission-driven data science team focused on applying advanced technology to meaningful challenges in healthcare. In this role, you will develop and operationalize machine learning, statistical, and mathematical optimization solutions at scale. You will help advance ML and LLM capabilities while ensuring models are effective, reliable, and trusted by users. Working closely with clinicians, product experts, data scientists, and data platform engineers, you will turn complex data into measurable outcomes. Your work will directly influence products designed to improve healthcare quality, operational efficiency, and patient outcomes. This is a high-impact opportunity to contribute to sophisticated AI solutions in a collaborative, cross-functional environment.

Build, refine, deploy, and maintain statistical and machine learning models at scale, including NLP and explainable AI approaches.
Develop, tune, and operationalize LLM-based systems while establishing rigorous evaluation methods for performance, reliability, and user trust.
Evaluate different modeling approaches and contribute to the continuous improvement of ML and LLM solutions.
Design experiments and develop analytics frameworks to measure the real-world impact of AI solutions in healthcare environments.
Perform hands-on data engineering, including data cleaning, transformation, analysis, and pipeline development using Python and SQL.
Partner with clinicians, product teams, data scientists, and data platform engineers to translate insights and models into production-ready products.
Communicate technical findings, analytical results, and model performance clearly to both technical and non-technical stakeholders.

Requirements

~1 min read

3+ years of industry experience developing, launching, and maintaining machine learning systems in production at scale.
At least 1 year of experience developing and tuning LLM systems.
Strong programming skills in Python and SQL, with hands-on experience manipulating datasets, cleaning data, and building data pipelines.
Solid software engineering foundations, with a strong focus on code quality, maintainability, and stable architecture.
Demonstrated ability to collaborate effectively with technical and non-technical stakeholders across functions.
Strong analytical and problem-solving skills, with the ability to evaluate modeling approaches and translate complex findings into practical solutions.
Experience working with healthcare data or hospital operations is a plus.
Experience with Databricks, AWS, dbt, or similar data and cloud platforms is a plus.
A master’s degree or equivalent professional experience in Computer Science, Statistics, or a related field is a plus.