Data Scientist

Hybrid Full TimeSuffolk, Virginia, United StatesBooz Allen Hamilton

Role Overview

As a data scientist, you’ll use your analytical skills and data science knowledge 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.

What You Will Do

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.

Why It Might Be a Fit

You’ll provide a deep understanding of the data, what it all means, and how it can be used. You’ll work with us as we use data science for good.

Requirements

  • Experience with data exploration, data cleaning, data analysis, data visualization, or data mining
  • Experience with exploratory data analysis using programming languages, including SQL and Python
  • Experience analyzing structured and unstructured data sources
  • Experience developing predictive data models, quantitative analyses, or visualization of targeted data sources
  • Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing
  • Ability to explain data insights clearly to both technical and non-technical stakeholders
  • Secret clearance
  • Bachelor’s degree

Benefits

  • health
  • life
  • disability
  • financial
  • retirement
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • recognition awards

To apply for this job please visit careers.boozallen.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!