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Headquarters, NASA is Hiring a Chief Science Data Officer Near Washington, DC

Qualifications:

Candidates must be a recognized subject matter expert with at least 1 year of directly related experience equivalent to the GS-15 level in leading, budgeting, and implementing scientifically relevant advanced data system engineering approaches (examples include: continuous evolution, open access methodologies for data and software, analysis tools like Artificial Intelligence and machine learning, cloud computing, and data science) that enable open science; demonstrated strategic leadership and collaboration experience with senior stakeholders (examples include: commercial, interagency and international stakeholders, organization internal stakeholders, and other research and end-user stakeholders) to establish and achieve goals related to open data policies, data management, and associated digital transformation initiatives across multiple science or other relevant disciplines; and experience in negotiating both contracts and agreements (examples of agreements include: commercial, academic, and international institutions). Experience must be clearly demonstrated in the resume.

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.

To meet the minimum qualification requirements for this position, you MUST address each Senior Level (SL) Evaluation Criteria separately not to exceed a total of ten (10) pages. If you fail to do so, your application will be rated ineligible. Please cite experience directly related to the specialized experience requirements (outlined above) when addressing the SL evaluation criteria #2 (Technical Excellence and Contributions) and SL evaluation criteria #5 (Corporate Cooperation and Technical Leadership Skills). For the full definition of the SL Evaluation Criteria and Process please click here. Please include your full name on all documents submitted.

SL EVALUATION CRITERIA:

1. Education Level and Training

2. Technical Excellence and Contributions
a. Experience/Accomplishments
b. Technical and Strategic Problem Solving
c. Information Transfer

3. Awards and Recognition

4. Outside Professional Activities

5. Corporate Cooperation and Technical Leadership Skills

Job Summary