The National Institutes of Health within HHS is searching for a Supervisory Data Scientist to lead data governance efforts, according to a job posting on USAJobs.gov.
As Branch Chief for the Data Science and Artificial Intelligence Application Branch (DSAIAB) you will oversee a data platform processing over 350 million data points daily, aiding the Division of Technical Resources (DTR) in decision-making through advanced calculations, machine learning, and complex numerical models, e.g., artificial neural networks, gradient-boosted models, Bayesian optimization. You will lead development of a Data Governance framework to ensure data adheres to the highest standards of availability and integrity.
According to the posting, duties for the Supervisory Data Scientist include:
- Integrate data science, Artificial Intelligence (AI), and machine learning with a focus on developing forecasting models and optimization strategies to enhance operational efficiency and reliability.
- Improve monitoring and data quality processes, customizing data collection to support sophisticated analytics and decision-making, with a special focus on forecasting and optimization models.
- Apply data analytics, aiming to secure high-quality data for performance improvements. Emphasize cost reduction and increased efficiency and reliability through advanced predictive analytics and optimization techniques.
- Transform unstructured data into actionable insights enabling DTR stakeholders to make informed decisions, utilizing forecasting models for strategic planning and achieving operational excellence.
- With an engineering-oriented approach, create and maintain a data quality dashboard that integrates metrics and scorecards for continuous anomaly detection and performance evaluation.
- Ensure data integrity and enforce stringent security measures to protect information assets, underlining the importance of a comprehensive engineering and mathematical foundation in managing and safeguarding data.
