Lead Data Scientist

Job Title : Lead Data Scientist (240002RW)Description : Lead Data Scientist will work to 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. Serve as an expert on quantitative analysis, data mining, and presentation of data.Qualifications : Masters’s degree in a quantitative / statistical or business field (e.g., Statistics, Mathematics, Engineering, Computer Science). (Required)Doctor of Philosophy (Ph.D.) preferred (Preferred)Requires deep functional knowledge with 10 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)Required Skills / Knowledge : 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.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.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 upper management.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 encouraging group participation.Collaborate effectively with cross-functional teams.Adapt to changing priorities and thrive in a dynamic environment.Functional Accountabilities : Develops and delivers statistical and / or machine learning models that solve business problems and work with engineers to make them production-ready.Develops, utilizes, and monitors end-to-end machine learning pipeline from data ETL to model delivery for production.Leads rapid prototyping for new business problems to support feasibility analysis for AI products.Shares complex ideas verbally and visually with a broad audience from technical and non-technical backgrounds.Builds and adopts solutions to automate and integrate data science processes.Stays abreast of the latest and best solutions to solve data challenges at hand.Interprets and communicates results of complex models with cross-functional teams and stakeholders.Generates internal implementations to achieve results.Works closely with the software engineering teams to drive scalable, production-ready implementations.Collaborates with teams across the company and serves as an internal expert on technical issues.Documents technical work and best practices as part of the production deployment process.Contributes to our evolving cloud infrastructure and data engineering pipeline.Contributes to scientific software engineering efforts utilizing professional coding standards.Engages with business partners to develop new models and concepts for continuous improvement.Performs other duties as assigned.Complies with all policies and standards.Organizational Accountabilities : Anticipates and responds to customer needs; follows up until needs are met.Teamwork / Communication : Demonstrates collaborative and respectful behavior.Partners with all team members to achieve goals.Receptive to others’ ideas and opinions.Performance Improvement / Problem-solving : Contributes to a positive work environment.Demonstrates flexibility and willingness to change.Identifies opportunities to improve clinical and administrative processes.Makes appropriate decisions, using sound judgment.Uses resources efficiently.Searches for less costly ways of doing things.Safety : Speaks up when team members appear to exhibit unsafe behavior or performance.Continuously validates and verifies information needed for decision making or documentation.Stops in the face of uncertainty and takes time to resolve the situation.Demonstrates accurate, clear, and timely verbal and written communication.Actively promotes safety for patients, families, visitors, and co-workers.Attends carefully to important details - practicing Stop, Think, Act and Review in order to self-check behavior and performance.Primary Location : Maryland-Silver SpringWork Locations : Inventa Towers 1 Inventa Place Silver Spring 20910Job : Information TechnologyOrganization : OperationsPosition Status : R (Regular) - FT - Full-TimeShift : DayWork Schedule : 8-5Job Posting : Oct 10, 2024, 12 : 42 : 18 PMFull-Time Salary Range : 128452 - 214087Childrens National Hospital is an equal opportunity employer that evaluates qualified applicants without regard to race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender, identity, or other characteristics protected by law.Please note that it is the policy of Children's National Hospital to ensure a “drug-free” work environment.#J-18808-Ljbffr