Data Scientist and Technical Lead

The Opportunity

As a data scientist, you're excited at the prospect of unlocking the secrets held by a data set, and you're fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help 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, we need you to help find the answers in the data.

On our team, you'll use your leadership skills and data science expertise to create real-world impact. You'll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You'll guide teammates and lead the development of algorithms and systems. You'll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be used.

Requirements

Required Experience:

• 10+ years of experience conducting modeling and simulation or decision analysis
• 10+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
• 5+ years of experience with statistical and general-purpose programming languages for data analysis
• 5+ years of experience programming with data analysis software such as Python, R, MATLAB, @RISK, ARENA, or SAS
• Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
• Experience leading the development of solutions to complex programs
• Experience with natural language processing, text mining, or machine learning techniques
• TS/SCI clearance with a polygraph
• Bachelor's degree

Preferred Qualifications:

• Experience with FOSS and COTS products in statistics, Monte Carlo or discrete event simulation, ETL processes, and quantitative workflow automation
• Experience working in Windows and Linux OS environments
• Ability to work with non-technical audiences on technical problems in a highly collaborative and team-oriented environment, and balance long and short-term taskings
• Ability to take poorly defined problems and convert them into questions for which practical quantitative solutions can be defined
• Ability to exhibit flexibility, initiative, and innovation to succeed in an ambiguous and fast-paced environment and compose client deliverable quality documentation, analysis, and reports
• Ability to pay strict attention to detail
• Excellent organizational skills
• Excellent verbal and written communication skills
• Bachelor's degree in Operations Research, Engineering, Analytics, Data Science, Economics, Applied Mathematics, Statistics, or a related field preferred; Master's degree a plus

Position Details

Job Number: R0250602

Location: Fort Meade, MD, US

Remote Work: No

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 with polygraph is required.

Compensation and Benefits

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 $99,000.00 to $225,000.00 (annualized USD).

Benefits Include:

• Health, life, disability, financial, and retirement benefits
• Paid leave
• Professional development
• Tuition assistance
• Work-life programs
• Dependent care
• Recognition awards program for exceptional performance

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.

Work Model

• 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 or customer facility, in alignment with your leadership's expectations and the needs of the role.
• Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Employees working virtually are generally expected to have their cameras on during meetings.

Additional Information

Identity Verification: As part of the hiring process, you will be asked 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. Booz Allen reserves the right to take your picture to verify your identity and prevent fraud.

AI Usage Policy: 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.

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.

This posting will close within 90 days from the Posting Date.