Senior Data Scientist
4 weeks ago
Job Summary:
Children's National Hospital seeks a highly skilled Senior Data Scientist to lead the development of advanced statistical and machine learning models to improve healthcare data latency through automation.
This role will focus on designing and delivering production-ready models, monitoring and maintaining models' health in production, and communicating key findings with stakeholders.
Responsibilities:
- Develop and deliver statistical and/or machine learning models that solve business problems and work with engineers to make them production-ready.
- Develop, utilize, and monitor end-to-end machine learning pipelines from data ETL to model delivery for production.
- 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.
- Stay abreast of the latest and best solutions to solve data challenges at hand.
- 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 company and serve as an internal expert on technical issues.
- Document technical work and best practices 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.
- Engage with business partners to develop new models and concepts for continuous improvement.
Requirements:
- Masters's degree in a quantitative/statistical or business field (e.g., Statistics, Mathematics, Engineering, Computer Science).
- Minimum 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.
- Experience working in a heavily regulated industry, preferably in healthcare.
- Advanced courses 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 networks, random forests, and NLP models.
- Expertise 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 forests, neural networks, 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.
Preferred Qualifications:
- Doctor of Philosophy (Ph.D.) in a quantitative/statistical or business field.
- Experience with cloud infrastructure and data engineering pipeline.
- Experience with scientific software engineering efforts utilizing professional coding standards.
What We Offer:
- A dynamic and collaborative work environment.
- Opportunities for professional growth and development.
- A competitive salary and benefits package.
- The chance to make a meaningful impact on the lives of children and families.
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