
Specializing in digital transformation and artificial intelligence.
Data Scientist, Mid at Booz Allen Hamilton
About the role
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 analytical skills to improve our business. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll apply analytical skills and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help clients 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 advising.
Join us. The world can’t wait.
You Have:
- Experience with machine learning, data mining, statistics, or graph algorithms in academic or internship environments
- Knowledge of an object-oriented language, including Java, C++, C#, or Python
- Knowledge of SQL
- Ability to leverage expertise in data gathering, analytical, and problem-solving work
- Ability to obtain a Secret clearance
- Bachelor’s degree
Nice If You Have:
- Experience with using R, Perl, Python, Tableau, SAS, or SPSS for data analysis
- Experience with AWS, including S3 and Lamda
- Possession of excellent verbal and written communication skills
- Possession of excellent interpersonal skills
Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
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.
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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.
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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.
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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.
Required skills
Machine learning
Statistics
Data analysis
SQL
Problem solving
Data gathering
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About Booz Allen Hamilton

Booz Allen Hamilton
PublicBooz Allen Hamilton Holding Corporation is the parent of Booz Allen Hamilton Inc., an American company specializing in digital transformation and artificial intelligence.
10,001+
Employees
McLean
Headquarters
$4.2B
Valuation
Reviews
10 reviews
3.8
10 reviews
Work-life balance
4.0
Compensation
2.5
Culture
4.2
Career
2.8
Management
3.5
68%
Recommend to a friend
Pros
Supportive management
Good work-life balance
Flexible work arrangements
Cons
Low compensation
Limited growth opportunities
Long hours during peak periods
Salary Ranges
37 data points
Junior/L3
L2
L6
M3
M4
M5
M6
Mid/L4
Principal/L7
Senior/L5
Staff/L6
L3
L4
L5
Junior/L3 · DATA ANALYST
1 reports
$165,000
total per year
Base
$143,400
Stock
-
Bonus
-
$165,000
$165,000
Interview experience
3 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Hiring Manager Interview
5
Team Interview
6
Offer
Common questions
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
Problem Solving
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