Senior/Staff Data Scientist (ACF)

Skylight · United States · $90,000–$125,000 (stated in the posting)

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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, visualize, 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.

The Administration for Children and Families (ACF) is expanding surge support and capacity for its new Data Capacity and Digital Services organization within the Office of Administration, through the option year of our Task Order 1 contract. The team works with enterprise-serving organizations like ACF Tech and the Office of Grants Management to help programs deliver on ACF’s mission, including priorities focused on reducing grantee burden; reducing waste, fraud, and abuse; and modernizing legacy systems. 

You’ll help answer hard questions with data. This role also flexes into lightweight engineering: when a problem calls for a small tool or automation built with AI, DataBricks, or Power Apps rather than a model, you build it.

What to know going in

This work calls for a consultant’s skill set: you’ll interface directly with senior leaders, and much of the work isn’t scoped in advance. This isn’t a team where you take tickets off the top of a backlog. Alongside delivery, we do a lot of technical consulting and capacity building, so people who take initiative and are comfortable with uncertainty and ambiguity tend to do best here.

While the scope of this role is likely to evolve over time, the majority of this work may not focus directly on predictive analytics or statistical analysis. Rather, the majority of your work would be focused on data ingestion, data storage and processing, and data visualization. 

What you’ll do

What we’re looking for

Basic qualifications

Nice-to-haves

Don’t meet every qualification but think you can do the job? We’d still love to hear from you. If you’re excited about the role, apply. We consider candidates with a range of backgrounds and experiences.

Other requirements

Logistics

Position type

This is a full-time, exempt position.

Location

This is a fully remote position.

Travel

This role may require travel one to two times a year based on client or contract needs.

Care package

Salary

We want to give you the most competitive salary possible. After all, you deserve it! To that end, we use the results of our interview process to determine what salary is most appropriate given your current level of seniority. For a Data Scientist at Skylight, the current salary ranges are as follows:

Benefits

Your well-being is important to us, so we focus on supporting you in a variety of ways:

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:

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.

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