Data Scientist and Technical Lead

Booz Allen Hamilton; Fort Meade (MD); On-site; USD 99,000 - 225,000; Full time

Job summary

Booz Allen Hamilton is seeking a Data Scientist and Technical Lead to unlock insights from large data sets, including IoT, ML, and AI, across public and private sectors. You will lead data-driven solutions, Collaborate with clients to define questions, and guide teams in algorithm development to deliver actionable insights.

The role emphasizes leadership, technical excellence, and the ability to translate complex data into strategic decisions, with a focus on national intelligence and defense

Qualifications

• 10+ years of experience conducting modeling and simulation or decision analysis.
• 10+ years of experience with data exploration, cleaning, analysis, visualization, or mining.
• 5+ years of experience with statistical and general-purpose programming languages for data analysis.
• 5+ years programming with data analysis software such as Python, R, MATLAB, @RISK, ARENA, or SAS.
• Experience developing predictive data models and visualizations.

Responsibilities

• Lead the development of algorithms and systems to solve client questions.
• Work with clients to understand questions and translate into data-driven solutions.
• Guide teammates and manage data science projects.
• Turn disparate data points into objective answers for informed decisions.

Skills

Modeling & simulation

Data analysis

Statistical programming

Python

R

MATLAB

SAS

@RISK

ARENA

Predictive modeling

Lead projects

NLP / ML

Security clearance TS/SCI

Bachelor's degree

Master's degree

Education

Bachelor's degree

Master's degree

Tools

FOSS/Custom Tools

ETL tools

Windows

Linux

Monte Carlo simulations

Job description

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.

Job Number: R0250602

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.

Work with us as we use data science for good.

Join us. The world can’t wait.

You Have:

• 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

Nice If You Have:

• 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
• Possession of excellent organizational skills
• Possession of 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

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

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 $99,000.00 to $225,000.00 (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. 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 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.

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.