Booz Allen

DataScientist,Mid

$78–78k Alexandria, Virginia, United States; Phoenix, Arizona, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Scientist, Mid at Booz Allen. Skills: Data science, Machine learning, Data analysis. Understand customer questions. Understand customer needs”

Industry & Context.

Problems you'll solve

Root cause analysis; Technical solutions

Eligibility Requirements

TS/SCI clearance

What They're Looking For.

Must Have

4+ years of experience in data science, Experience using SQL, Experience with data manipulation, Experience with ETL procedures, Experience with leveraging APIs, Experience developing data visualizations, Experience developing dashboards, Experience developing Web applications, Experience communicating information, Experience leading junior personnel, Experience conducting root cause analysis, Experience developing technical solutions, TS/SCI clearance, Bachelor's degree in Mathematics, Bachelor's degree in Statistics, Bachelor's degree in Computer Science, Bachelor's degree in Data Analytics

Nice to Have

Experience developing dashboards using Grafana, Master's degree in Mathematics, Master's degree in Statistics, Master's degree in Computer Science, Master's degree in Data Analytics, Master's degree in a related technical field

What You'll Do.

Understand customer questions

Understand customer needs

Dig into data-rich environment

Find information puzzle pieces

Write scripts to integrate data

Conduct exploratory data analysis

Discover hidden patterns

Apply machine learning

Train predictive models

Use tools to find answers

Turn data points into answers

Help mission partners make decisions

Provide deep understanding of data

How You'll Work.

Communication Scope

Oral communication; Written communication

Full Job Description

Data Scientist, Mid **The Opportunity:** 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 leadership and analytical skills to support an intelligence community (IC) agency's collection and analysis operations. You’ll work closely with your customer to understand their questions and needs, then dig into their data-rich environment to find the pieces of their information puzzle. You’ll write scripts to integrate data, conduct exploratory data analysis to discover hidden patterns, apply machine learning to train predictive models, and use the right combination of tools to turn that set of disparate data points into objective answers to help mission partners make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in support of the IC’s global mission. Join us. The world can’t wait. **You Have:** * 4+ years of experience in data science, including performing quantitative analysis, developing visualizations, and processing complex data to create data-driven insights with tools like Python * Experience using SQL to conduct complex database queries * Experience using data manipulation and extract, transform, and load (ETL) procedures * Experience with leveraging APIs to query systems * Experience with developing data visualizations, dashboards, or lightweight Web applications to communicate key insights * E

Free ATS check

Applying for this Data Scientist, Mid role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Workday

  • Workday has a multi-step form — save your progress after every section.
  • "Apply With LinkedIn" can fail or lose data; manual entry is more reliable.
  • Watch for the "Submit for Review" final step — hitting "Save" alone does not submit.
  • Job requisition numbers are useful when following up with HR by email.

ANONYMOUS · UNFILTERED

What do employees actually say about Booz Allen?

Real rants from real employees. Read before you apply.

Read Company Rants →