Data Scientist
Accenture Federal Services
| Company | Accenture Federal Services |
| Category | Data & Analytics |
| Location | Annapolis Junction |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 13 Jul 2026 |
| Last verified | 31 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.
Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.
Join us to drive positive, lasting change that moves missions and the government forward!
Are you passionate about using data to solve complex puzzles and drive meaningful outcomes? AFS is looking for a Data Scientist to support our nation's most critical missions. If you love turning raw data into clear insights and thrive in a dynamic, collaborative environment, we'd love to connect with you!
As a Data Scientist at AFS, you will be at the heart of our mission, transforming complex data into actionable intelligence. You will join a team of curious and dedicated professionals, working together to tackle challenging problems in a fast-paced and rewarding environment.
What you'll need:
Bachelor’s degree in relevant technical field
Minimum of 3 years of experience programming with data analysis software such as: R, Python, SAS, or MATLAB
Experience working with large-scale or complex datasets
Experience with data visualization tools (e.g.: Tableau, Power BI, D3, etc.), dataset analysis and/or developing analytics
Bonus Points if you have:
Familiarity or experience doing data science within the context of AI/ML, Cyber, and/or SIGINT
Experience with graph-based algorithms and analytics
Familiarity with production-level deployment of machine learning models
Knowledge of data mining techniques specific to network logs or structured metadata
Experience with cloud-based data analytics platforms
Familiarity with agile development methodologies in data science projects
Experience with automated feature engineering or model selection tools
Knowledge of data privacy and security best practices in analytics
Clearance :
Must have an active TS/SCI with polygraph level clearance
As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland . The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.
The pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is: $120,000 — $220,000 USD
What We Believe
As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, fee
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