Data Scientist (Direct Hire)

Duties described below are at the highest grade advertised. Duties assigned at lower grade levels will be of more limited scope, performed with less independence and limited complexity; duties will be commensurate with the grade of selected employee.

Design and operate production grade data and machine learning pipelines with data quality checks and documented lineage.

Develop and deploy analytic models to meet mission needs and configure monitoring and alerting for performance.

Prepare, transform, and integrate datasets from multiple sources and maintain reproducible documentation.

Plan and conduct model validation, testing, and performance evaluation and share results with stakeholders.

Implement role based access controls and data protection requirements and document practices for audits.

Maintain metadata workflows, including tagging, classification, and lifecycle documentation.

Publish optimized analytical datasets or models and define key performance indicators and data representations.

Coordinate with stakeholders to define technical requirements and provide guidance to junior team members.

Specialized experience is experience that has equipped you with the particular ability, skill, and knowledge to successfully perform the duties of this position and is typically in or related to this line of work.

To qualify for GS-12, you must have: a) One year of directly related specialized experience equivalent to the GS-11 level: Collecting, cleaning, transforming, and preparing structured and unstructured data for analytic projects.

Assisting in building and maintaining data pipelines and supporting model testing by recording results and identifying issues. Writing, testing, and documenting code for data analysis or modeling and producing basic visualizations.

OR b) Completed all requirements for a doctoral degree (i.e., Ph.D. or equivalent) in an appropriate field To qualify for GS-13, you must have one year of directly related specialized experience equivalent to the GS-12 level: Preparing, transforming, and integrating datasets from multiple sources and maintaining reproducible documentation.

Designing and operating data and machine learning pipelines with defined data quality checks and lineage tracking. Conducting model validation, testing, and performance evaluation and presenting results to diverse audiences.

Your resume must include a clear and detailed narrative description, in your own words, of how you meet the required specialized experience. Experience statements copied from a position description, vacancy announcement or other reference material constitutes plagiarism and may result in disqualification and losing consideration for the job.

Please visit https://www.nasa.gov/careers/how-to-apply/#Artificial-Intelligence to review NASA's guidance on the use of artificial intelligent (AI) or AI-assisted tools during the application process.