Note: The job is a remote job and is open to candidates in USA. Children's National Hospital is dedicated to advancing pediatric healthcare through innovative technology solutions. The Senior Data Scientist role focuses on building scalable machine learning models to improve healthcare data processes, while collaborating with cross-functional teams to enhance patient outcomes and operational efficiency.
Responsibilities
- Designs, develops and delivers statistical and/or machine learning models that solve business problems and work with engineers to make them production ready
- Develops, utilize and monitor end-to-end machine learning pipeline from data ETL to model delivery for product ionization
- Leads rapid prototyping for new business problems to support feasibility analysis for AI products
- Shares complex ideas verbally and visually wit broad audience from technical and non-technical background
- Builds and adopts solutions to automate and integrate data science processes
- Researches latest and best solutions to solve data challenges at hand
- Interprets and communicates results of complex models with cross functional team and the stakeholders
- Generate internal implementations to achieve results
- Work closely with the 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 our 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
- Performs other duties as assigned
- Complies with all policies and standards
Skills
- Bachelor's Degree A Bachelor's degree in a quantitative/statistical or business field (e.g., Statistics, Mathematics, Engineering, Computer Science). (Required)
- 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
- Experience with database skills, SQL, NoSQL, coding for ETL
- 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 skills
- Ability to communicate and make recommendations to leadership
- Ability to drive multiple projects to successful completion
- Possesses technical aptitude
- Excellent verbal and written communication skills, communicate complex findings in a clear and understandable manner
- Excellent facilitation ability to host sessions and elicit ideas from others, understanding their issues and encourage group participation
- Attention to detail
- Collaborate effectively with cross-functional teams
- Adapt to changing priorities and thrive in a dynamic environment
- Masters preferred. (Preferred)
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