Data Scientist

Job Description

Remote Work:

No

Job Number:

R0232563

Location:

San Antonio,TX,US

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 analytical skills and data science knowledge to create real-world impact. You’ll work closely with your customers to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients 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:

• 2+years of experience using coding-based data analysis and querying to solve data-driven problems in industry, business, or national security, including Python, Pandas, R, or SQL
• 2+ years of experience using software or code frameworks for statistical analysis and exploratory data analytics to solve data-driven problems in industry, business, or national security, including Tableau, SAS JMP, QLIK, Palantir, Python, or Seaborn
• Experience developing systems or data pipelines within technical and administrative constraints
• Experience designing and optimizing systems or pipelines in environments with competing parameters
• Experience with cascading effects for system architecture or pipelines
• Ability to contribute to multiple projects at once
• Ability to troubleshoot and push through development issues autonomously
• Ability to travel up to 25% of the time
• Secret clearance
• Bachelor’s degree

Nice If You Have:

• 1+ years of experience performing geospatial data analysis using code-based frameworks such as Python, Geo Pandas, Shapely, or pyproj
• 1+ years of experience with code-based web data extraction, including Python with Playwright and lxml, or equivalent
• Experience performing geospatial analysis using off-the-shelf software such as ArcGIS and QGIS
• Experience coding or deploying code environments on disconnected or classified environments
• Experience with AI-enhanced coding, including Cursor and Windsurf
• Top Secret clearance
• Master’s degree

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information;
Secret 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…