Data Scientist, Mid

Overview

Data Scientist, Mid.

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.

• Lead the development of algorithms and systems.
• Work closely with clients to understand questions and needs and dig into data-rich environments.
• Guide teammates and oversee the development of data science solutions.
• Turn sets of disparate data points into objective answers to advise clients.
• Provide a deep understanding of the data and its implications for decision-making.

• 3+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
• Experience with statistical and general-purpose programming languages for data analysis, including Python, R, and SQL.
• Experience with data visualization software, including Power BI and Tableau.
• 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.
• Knowledge of intelligence analysis processes, requirements, and challenges.
• TS/SCI clearance with a polygraph.
• Bachelor’s degree in Data Science, Computer Science, Statistics, or Mathematics.

• Experience working in a DoD or IC environment.
• Ability to work with non-technical audiences on technical problems in a highly collaborative and team-oriented environment, balancing long and short-term taskings.
• Ability to transform poorly defined problems into questions with practical quantitative solutions.
• Flexibility, initiative, and innovation to succeed in ambiguous, fast-paced environments; capable of delivering client deliverable–quality documentation, analysis, and reports.

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.

At Booz Allen, we celebrate your contributions, provide 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 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.

The projected compensation range for this position is $77,600.00 to $ (annualized USD). The…