Data Scientist

As a Data Scientist, you have a passion for going beyond simple analysis to build predictive models and algorithms. You thrive on the challenge of transforming vast amounts of structured and unstructured data not just into insights, but into machine learning and artificial Intelligence solutions to solve complex challenges.

As a client facing Data Scientist, you’ll work with and guide a small team of analysts, developers, and data consumers in a fast-paced, Agile environment. You’ll apply your deep knowledge of machine learning and statistical modeling as you lead the design, development, and deployment of predictive models for your clients. You will also work closely with your clients to understand their questions and challenges, and then architect data-driven solutions within their data-rich environments. Not only will you build models to predict future outcomes, but you’ll also advise your client on what these predictions mean and how they can be used to proactively shape mission success.

• Experience designing, building, or maintaining cloud data environments such as Azure and AWS
• Experience leading or mentoring technical teams of data analysts, engineers, or developers
• Experience with data visualization techniques and tools, including Power BI, Tableau or Microsoft Fabric, and Spark or PySpark for data analysis
• Experience with structured data using tools, including SQL, R, or Python programming languages, data visualization software, and statistical analysis
• Experience transforming data patterns into predictive insights and deploying data driven solutions
• Experience in data validation, feature engineering and preparing complex data sets for machine learning
• Experience building and automating data pipelines and workflows
• Knowledge of statistical analysis and modeling techniques, including regression, classification and clustering
• Secret clearance
• Bachelor’s degree

Nice If You Have:

• Experience developing custom data-driven applications or user interfaces for data input and visualization
• Experience with DoD data platforms, including Advana, MCS-COP Foundry, ADE, or similar systems
• Experience with agile methodologies
• Experience with working on real-time data and streaming applications
• Knowledge of USMC Marine Expeditionary Force mission and structure
• Ability to develop scripts and programs for converting various types of IoT and sensor data into usable formats
• Ability to communicate technical information and recommendations to peers, engineers, and analytic customers
• TS/SCI clearance
• Master’s degree
• Certified Analytics Professional (CAP) Certification

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.

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.