Federal Data Analyst

Washington, DC

Scale AI

Trusted by world class companies, Scale delivers high quality training data for AI applications such as self-driving cars, mapping, AR/VR, robotics, and more.

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Data Analyst, Public Sector

Scale is a rapidly growing, $14B valuation company that is changing how organizations worldwide build AI applications. 

As a Data Analyst, you will build our Public Sector analytics vertical and drive actionable insights that lead to step-function operational improvements. This role requires collaboration with leadership and cross-functional teams to solve complex problems and develop sustainable, scalable analytics solutions. Your responsibilities will include both ad-hoc analyses and the creation of core dashboards and tables, directly impacting how Scale operates and evaluates its performance.

The Data Analytics team is centralized and supports many teams across Scale. Data Analysts are strong relationship builders and work in close collaboration with delivery, operations, finance, and engineering. We are looking for candidates who are relentlessly curious and who thrive on creating insights from ambiguity.


You will:

  • Collaborate with leadership, operations, and engineering teams to identify, define, and track key metrics to be used in monitoring, planning, and one-off decision-making
  • Work closely with other teams to investigate problems, uncover root causes, and drive quantitative solutions
  • Measure and effectively communicate results to the entire organization
  • Help operators across the business better understand our customers, taskers, and pipeline efficiency
  • Develop repeatable, scalable analytical solutions, such as dashboards, data models, or better underlying tables
  • Have an active Secret security clearance (Top Secret preferred)

Ideally you'd have:

  • 3+ years of relevant work experience in a role requiring application of data and analytics to business problems
  • Mastery of SQL and relational databases; experience with scripting languages (e.g., Python/R)
  • Experience with BI tools (e.g. Tableau and Redash), and Google Sheets preferred
  • Experience with data modeling tools (e.g. DBT)
  • Experience designing and building dashboards - understanding which metrics are most meaningful to the business and the cadence required to measure them
  • Excellent communication and data visualization skills, and the ability to convey complex ideas succinctly
  • Ability to initiate and drive projects to completion with minimal guidance

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

The base salary range for this full-time position in the location of Washington DC is:$122,760—$154,000 USD

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.

About Us:

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time. Our mission is to make that happen faster across every industry, and our team is transforming how organizations build and deploy AI.  Our products power the world's most advanced LLMs, generative models, and computer vision models. We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.S. Army and U.S. Air Force, and enterprises including GM and Accenture. We are expanding our team to accelerate the development of AI applications.

We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. 

We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.

We comply with the United States Department of Labor's Pay Transparency provision

PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

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Category: Analyst Jobs

Tags: Computer Vision Data Analytics Data visualization dbt Engineering Finance Generative AI Generative modeling LLMs OpenAI Privacy Python R RDBMS Redash Security SQL Tableau

Perks/benefits: Career development Equity / stock options Health care Transparency

Region: North America
Country: United States

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