Remote Computer Science Graduate Jobs in Silver Spring, MD

Remote Work:
No
Job Number:
R0245074
Location:
Washington,DC,US
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Data Scientist, Mid
The Opportunity:
Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can turn these complex data sets into useful information to solve global challenges. Across private and public sectors - from fraud detection, to cancer research, to national intelligence - you know the answers are in the data.
We have an opportunity for you to use your leadership and analytical skills to improve a client's data science capability. You'll work closely with your client to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You'll mentor teammates, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help leadership make informed decisions. You'll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in building this capability.
Join us. The world can't wait.
You Have:

• 3+ years of experience in data science, engineering, analytics, statistics, or computer science fields
• Experience collaborating in teams
• Experience supporting DoW or IC clients
• Ability to perform testing and evaluation of AI/ML models
• Active TS/SCI clearance; willingness to take a polygraph exam
• Bachelor's degree in Statistics, Data Science, Computer Science or Social Science, or 4+ years of experience in statistics, data science, computer science and social science in lieu of a degree

Nice If You Have:

• Experience with GEOINT or LLMs
• Experience performing or supporting all-source analysis
• Possession of excellent verbal and written communication skills
• Possession of excellent interpersonal skills
• TS/SCI clearance with a polygraph
• Master's degree in Quantitative Social Science, Statistics, Data Science, or Computer Science preferred; Doctorate degree in Quantitative Social Science, Statistics, Data Science, or Computer Science a plus

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
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 interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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