Data Scientist

Hybrid Full TimeWashington, District of Columbia, United States631 Booz Allen Hamilton_United States

As a data scientist at Booz Allen, you can help turn complex data sets into useful information to solve global challenges. You’ll use your analytical skills and data science knowledge to create real-world impact, working closely with clients to understand their questions and needs. 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.

Requirements

  • 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
  • 2+ years of experience with statistical and general-purpose programming languages for data analysis
  • Experience analyzing structured and unstructured data sources
  • Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
  • Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing
  • Secret clearance
  • Bachelor’s degree

Benefits

  • health, life, disability, financial, and retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • paid leave
  • recognition awards program
  • full-time and part-time employees working at least 20 hours a week on a regular basis

To apply for this job please visit bah.wd1.myworkdayjobs.com.


You can apply to this job and others using your online resume. Click the link below to submit your online resume and email your application to this employer.

Tired of manual job applications?

JobCopilot auto-applies to thousands of RevOps and GTM roles on your behalf — so you can focus on interviews, not applications.

Applying for this role?

Tailor your resume to this exact role — hiring managers notice the difference.

Latest articles on the blog

RECRUITERS!

Reduce the risk of your recruitment process (applicant quality, long and inefficient process) by selecting from a relevant pool of candidates.

POST A NEW JOB NOW!