Senior Data Scientist

Overview

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.

Children’s National IT professionals are committed to innovation, continuous improvement, and service excellence while supporting one of the nation’s leading pediatric healthcare organizations. The department fosters a collaborative, mission-driven environment where technology professionals have the opportunity to make a meaningful impact on the lives of children and families every day.

Mission-driven organization focused on improving children’s health. Enterprise-scale technology and digital transformation initiatives.

Collaborative partnerships with clinical, operational, and executive leaders. Opportunities to work with cutting-edge healthcare technologies.

Strong emphasis on innovation, cybersecurity, analytics, and digital health. Commitment to professional development, continuous learning, and career growth. Direct impact on patient care, research, and healthcare delivery excellence.

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

Bachelor's Degree: A Bachelor’s degree in a quantitative/statistical or business field (e.g., Statistics, Mathematics, Engineering, Computer Science). (Required)

Masters Preferred. (Preferred)

6 years:
Requires deep functional knowledge with 6+ years of related experience or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. (Required)

Experience working in a heavily regulated industry. Healthcare is a plus.

Advanced course in machine learning and programming.

Experience working with global distributed multicultural teams.

Experience with agile leadership.

Experience with building, delivering and maintaining production ready machine learning models.

Knowledge of statistical data analysis and machine learning such as linear models, time series forecasting, neural network, random forest and NLP models, etc.

Expert in Python coding and utilization of machine learning and statistical packages for modeling.

In depth understanding of machine learning algorithms such as random forest, neural network, graph models, NLP, etc.

Familiarity with Spark, Azure, Databricks, MLFlow AutoML.

Experience and familiarity with backlog management tools and resources, ideally with JIRA and Confluence.

Seeks to acquire knowledge in area of specialty.

Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions.

Ability to work independently.

Demonstrated analytical skills.

Demonstrated project management skills.

Demonstrates a high level of accuracy, even under pressure.

Demonstrates excellent judgment and decision-making…