Data Scientist, Junior
Booz Allen Hamilton
This job at a glance
- Who can apply
- New grads and up to 2 years · Bachelor's degree
- Must know
- Machine learningData visualizationData analysisStatistics
- Nice to have
- Data structures & algorithmsPythonRSQL
- Work
- On-site in Washington
- Pay
- $62K–$141K a year
- Skill demand
- Statistics74%Machine learning66%Data analysis40%Data visualization36%of 99 similar entry-level jobs posted in the US this week
- Listed
- Oct 30, 2026 · still open
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About the Role
As a Data Scientist, you will be excited by the prospect of unlocking the secrets held by a data set and 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 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 will help find the answers in the data. On this 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 and mentor your team as you oversee 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. As a technical leader, you’ll identify new opportunities to use data science solutions to help your clients meet their toughest challenges. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.
Key Responsibilities
- Work closely with clients to understand their questions and needs.
- Dig into data-rich environments to find pieces of the information puzzle.
- Guide and mentor your team as you oversee the development of algorithms and systems.
- Use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise clients.
- Identify new opportunities to use data science solutions to help clients meet their toughest challenges.
- Provide a deep understanding of the data, what it all means, and how it can be used.
Requirements & Tech Stack
- Experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
- Experience with statistical and general-purpose programming languages for data analysis.
- Knowledge of structured and unstructured data sources.
- Ability to obtain a Secret clearance.
- Bachelor’s degree.
Nice to Have
- Experience with the development of algorithms leveraging R, Python, or SQL and NoSQL.
- Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources.
Compensation
- Projected compensation range: $62,000.00 to $141,000.00 (annualized USD).