Data Scientist

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other Required:

NACI (T1)

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Data Engineering, Datasets, Datasource

Certifications:

None

Experience:

5 + years of related experience

US Citizenship Required:

Yes

Job Description:

GDIT is curretnly seeking a Data Scientist to support our NASA programs.

The Opportunity: The Aerospace Capabilities Portfolio Office (ACPO) consolidates aerospace capabilities across multiple NASA Centers, and its data is scattered across teams, tools, and Centers with no shared map. Embedded in the Digital Innovation & Integration Service Capability (DIISC), a team within ACPO, the Data Librarian makes that data findable, understood, and trusted: mapping lineage, standing up a data catalog, setting the metadata standards the team follows, and driving adoption across the community.

Responsibilities:

• Catalog and describe the portfolio’s data: create clear, consistent, searchable records for datasets so people can find what exists, understand what it is, and judge whether they can use it.
• Build and maintain taxonomies, controlled vocabularies, a shared business glossary, and descriptive metadata and documentation standards.
• Set the cataloging and metadata standards the data team must follow, and hold the team accountable to them.
• Help analysts, engineers, and program staff find the right data, interpret it correctly, and understand its provenance and limits.
• Onboard new datasets and retire stale ones: document provenance and ownership, apply sensitivity and controlled (CUI) classification, and flag data quality.
• Map the portfolio’s data lineage end-to-end: sources, systems, owners, flows, transformations, and downstream consumers.
• Work with the team’s manager to select and onboard an enterprise data catalog tool (e.g., DataHub, Atlan, Collibra, Alation, or Microsoft Purview): evaluate, stand up the platform, define the metadata model, and integrate it with portfolio data sources.
• Ensure the catalog integrates cleanly with the team’s data orchestration tool (Dagster).
• Define and track metadata-completeness, documentation, and freshness metrics.
• Drive catalog adoption across the portfolio, and serve as the point of contact for what data exists, where it lives, and how it should be described and used.

Qualifications:

Required:

• Master’s in Library and Information Science (MLIS/MLS) with a data curation, research data management, or informatics focus, or a related information or data degree with demonstrated cataloging and metadata practice.
• US Citizenship and ability to obtain relevant agency clearance is requried
• 5+ years in a data librarian, research data services, data curation, or metadata and catalog role.
• Hands-on experience running a data catalog or metadata management platform (e.g., DataHub, Atlan, Collibra, Alation, Informatica, Microsoft Purview, Amundsen), or equivalent experience managing a metadata repository or catalog.
• Able to embed with the data team and genuinely understand the work they do (pipelines, data flows, how data is produced and used), enough to capture lineage and metadata accurately and earn the team’s trust. They do not need to build pipelines or do the engineering or data science themselves.
• Command of metadata standards, taxonomies, controlled vocabularies, and data dictionaries.
• Demonstrated ability to drive adoption of a catalog, standard, or shared data practice across multiple teams.
• Excellent written and verbal communication; able to translate between technical and program audiences.

Desired:

• Working knowledge of data engineering practice: pipelines and orchestration, warehouses and lakes, and transformation workflows, and how metadata and lineage are produced along the way.
• Working knowledge of data science practice: how teams source, prepare, and use data for analysis and modeling, and what they need to trust and reproduce it.G

The likely salary range for this position is $81,349 - $103,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Remote

Work Location:

Any Location / Remote

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

 

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

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