Senior/Staff/Principal Data Scientist (HHS)

The posting, as Skylight wrote it

About Skylight

Skylight is a digital consultancy using design and technology to help government agencies deliver better public services.

We’re at the forefront of a civic movement to reinvent how all levels of government serve families, patients, and many others in today’s digital world.

If you want to play a part in driving this critical movement forward, we’d love for you to join our growing team of public interest technologists.

The work we do matters.

About the job

At Skylight, data scientists organize, synthesize, and analyze data to help government stakeholders and product teams make informed decisions. They apply a variety of analytical models to find meaningful insights in both structured and unstructured data, and they communicate these insights in an easily digestible format.

This project supports the HHS Office of the Chief Data Officer (OCDO) in modernizing enterprise data management, improving data accessibility, and strengthening coordination across HHS Divisions. The team provides end-to-end delivery—from discovery and roadmap development through engineering, implementation, and ongoing operations—across three core areas: the HHS Data Inventory, the AI Use-Case Inventory, and OCDO strategic and programmatic support.

Key activities include automating metadata collection and validation, expanding inventory coverage, supporting data catalog modernization and migration, coordinating Division data calls, and publishing public inventories. The team also supports data governance, statutory reporting, executive communications, and analytical needs. Together, these efforts help HHS reduce data silos, improve visibility into data and AI assets, meet federal reporting requirements, and establish sustainable infrastructure and processes for enterprise data sharing.

In this role, you’ll focus on the AI Use-Case Inventory and broader OCDO priorities, turning ambiguous policy and reporting requirements into practical, repeatable analytical workflows.

What to know going in

This is early-stage, high-visibility work with shifting priorities. Decisions often arrive unresolved, and you’ll help shape them rather than execute against a fixed spec. Client leadership believes moving too slowly is a bigger risk than being wrong, so you’ll do well here if you like prototyping quickly and sharing early, imperfect work.

You’ll work alongside a broader Skylight team. In your first 30 days, you’ll get access to existing systems, learn the current workstreams, and start contributing analysis to them.

What you’ll do

• Develop repeatable data quality checks, validate schemas, and standardize metadata across HHS’s data and AI inventories
• Evaluate, classify, and document risks for enterprise AI use cases in accordance with federal and agency governance standards
• Clean, integrate, and analyze complex data from multiple sources to surface trends, gaps, and patterns
• Apply machine learning and natural language processing to automate data tagg

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D&D insurance

• Dependent care FSA, healthcare FSA, health savings account
• Dollar-for-dollar 401(k) match up to 10% of your salary with no vesting period
• Flexible paid-time-off policy (generally around 25 days per year), plus 11 paid federal holidays
• Up to 12 weeks paid-time-off for all eligible new birth, adoption, or foster parents
• Performance rewards, including annual salary increase, annual performance bonus, spot bonuses, and stock options
• Business development / sales bonuses
• Referral bonuses
• Annual $2000 allowance for professional development
• Annual $750 allowance for tech-related purchases
• Annual swag budget of $100 to display your Skylight pride with some merchandise (hoodies, hats, and more)
• Flexible, remote-friendly work environment
• An environment that empowers you to unleash your superpowers for public good

Interview tips

Our process includes a preliminary screen, a skills interview, a behavioral interview, and a reverse interview where you meet your potential team — usually four conversations across two to three weeks. Here are some tips to help you prepare for a successful interview:

• Visit our join page to learn more about how our interview process works.
• Check out our Career Pathways framework to learn more about the different roles within Skylight and the skills needed to do them.
• Browse our case studies to learn more about our work.

If you’d like to request reasonable accommodations during the application or interviewing process, please contact our recruiting team at recruiting@skylight.digital .

We participate in E-Verify and upon hire, will provide the federal government with your Form I-9 information to confirm that you’re authorized to work in the U.S.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, sex, religion, age, disability, veteran status, or any other category protected by applicable law.