Senior Data Scientist

About Children's National Hospital

Children's National Hospital’s Information Technology team is dedicated to advancing pediatric healthcare through innovative technology solutions that support clinical care, research, operations, and patient experience. The department partners closely with physicians, nurses, researchers, and business leaders to design, implement, and optimize enterprise‑wide systems that improve patient outcomes, operational efficiency, and organizational performance.

The IT organization encompasses a broad range of specialties, including Digital Health, Epic and Clinical Applications, Cybersecurity, Data & Analytics, Artificial Intelligence, Infrastructure & Cloud Services, Software Development, Enterprise Architecture, Project and Program Management, IT Operations, and Information Security. Teams collaborate on high‑impact initiatives such as electronic health record (EHR) optimization, digital transformation, data‑driven decision making, cybersecurity protection, cloud modernization, and emerging healthcare technologies.

Build scalable, production‑ready machine learning and statistical models to improve healthcare data latency through automation. The role focuses on advanced statistical and machine learning solutions, collecting, cleansing, and interpreting large volumes of data from varying sources, designing and delivering production‑ready models, monitoring and maintaining models’ health in production, and communicating key findings with stakeholders.

• Design, develop and deliver statistical and/or machine learning models that solve business problems and work with engineers to make them production ready.
• Develop and monitor the end‑to‑end machine learning pipeline from data ETL to model delivery.
• Lead rapid prototyping for new business problems to support feasibility analysis for AI products.
• Share complex ideas verbally and visually with a broad audience from technical and non‑technical backgrounds.
• Build and adopt solutions to automate and integrate data science processes.
• Research the latest and best solutions to solve data challenges.
• Interpret and communicate results of complex models with cross‑functional teams and stakeholders.
• Generate internal implementations to achieve results.
• Work closely with software engineering teams to drive scalable, production‑ready implementations.
• Collaborate with teams across the organization.
• Document technical work as part of the production deployment process.
• Contribute to evolving cloud infrastructure and data engineering pipeline.
• Contribute to scientific software engineering efforts utilizing professional coding standards.
• Collaborate with business partners to develop new models and concepts for continuous improvement.
• Perform other duties as assigned.
• Comply with all policies and standards.

• Bachelor’s Degree in a quantitative/statistical or business field (e.g., Statistics, Mathematics, Engineering, Computer Science). (Required)
• Master’s Degree preferred.

• 6 years of related experience or equivalent experience; deep functional knowledge required.

• Experience working in a heavily regulated industry; healthcare experience is a plus.
• Advanced coursework in machine learning and programming.
• Experience working with global distributed multicultural teams.
• Experience with agile leadership.
• Experience building, delivering, and maintaining production‑ready machine learning models.
• Knowledge of statistical data analysis and machine learning (linear models, time series forecasting, neural networks, random forests, NLP, etc.).
• Expertise in Python and utilization of machine learning and statistical packages for modeling.
• Database skills, SQL, No
  
  SQL, coding for ETL.
• In‑depth understanding of machine learning algorithms (random forest, neural network, graph models, NLP, etc.).
• Familiarity with Spark, Azure, Databricks, MLFlow AutoML.
• Experience with backlog management tools, ideally JIRA and Confluence.
• Ability to identify problems, collect data, establish facts, and draw valid conclusions.
• Ability to work independently and drive multiple projects to successful…