Data Scientist, Mid

The Challenge:

Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, 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 know the answers are in the data.

We have an opportunity for you to use your analytical skills to help find and mitigate financial risk for a government client. You’ll work closely with business stakeholders to understand their questions and needs and understand the existing models in production. You will help identify new data fields and identify which fields are no longer useful. You will identify areas where the existing models are not accurate, and you’ll help build and maintain new predictive models to find fraud, identify theft, and other non-compliant activity. You will work with team members to promote the models into a production environment and work with the client to help them understand the models' results. Join us as we use data science for good in fraud detection. This position is open to remote delivery from any location in the U.S., to include the District of Columbia.

Empower change with us.

You Have:

  • 2+ years of experience with data science or data analytics
  • Experience with a data science language or application, including Python, R, or SAS
  • Experience with supervised machine learning techniques, including neural networks, decision trees, logistic regression or using appropriate measures, such as ROC curves to determine the accuracy of the models
  • Experience with using SQL to analyze data stored in a relational database
  • Knowledge of statistics, sampling, and the common pitfalls in modeling and data analysis
  • Ability to obtain a security clearance
  • BA or BS degree

Nice If You Have:

  • Experience with graph analytics, link analysis, or network analysis, including directly in the fraud detection, law enforcement, or intelligence fields
  • Experience with preparing actual client data for models, including merging and aggregating data, handling anomalies, balancing, and feature selection
  • Experience with predictive modeling around fraud, risk, or rare events
  • Experience with SAS Enterprise Miner 
  • Knowledge of procedural SQL language, including PL/SQL or PL/pgSQL
  • Ability to present work using non-technical terms


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

Build Your Career:

 At Booz Allen, we know the power of analytics, and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you’ll have the chance to:

  • access online and onsite training in science trainings in AI methods, and tools like Databricks, and Azure. 
  • change the world with the Data Science Bowl—the world’s premier data science for social good competition
  • participate in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government

You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications that directly impact your role? You may be able to take advantage of our tuition assistance, onsite boot camps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want as you chart your own course for success.

We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or other protected characteristic—to fearlessly drive change.

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