Booz Allen

DataScientist

$78–78k Washington, District of Columbia, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Scientist at Booz Allen. Skills: Data science, Machine learning, AI, Data analysis. Turn complex data sets into useful information. Find answers in the data”

Industry & Context.

Problems you'll solve

Data-driven decision making

Eligibility Requirements

TS/SCI clearance, Polygraph clearance, On camera during interviews

What They're Looking For.

Must Have

4+ years of experience, Python or R experience, ETL pipelines experience, Version control tools experience, Statistical analysis knowledge, Predictive modeling knowledge, Machine learning methods knowledge, Automated analytic software design, Automated analytic software development, Open-source software integration, COTS products integration, Data visualizations with python, TS/SCI clearance, Polygraph clearance, Bachelor's degree or 7 years experience

Nice to Have

GEOINT experience, HUMINT experience, MASINT experience, OSINT experience, SIGINT experience, Java programming experience, Intelligence analysis experience, Operations analysis experience, DoD experience, Intelligence Community experience, DevOps knowledge, CI/CD pipelines knowledge, Jenkins knowledge, CompTIA Security+ certification

What You'll Do.

Turn complex data sets into useful information

Find answers in the data

Create real-world impact

Work closely with clients

Dig into data-rich environments

Lead algorithm development

Lead system development

Use tools and frameworks

Turn data points into answers

Advise clients on decisions

Provide data understanding

Develop automated analytic software

Develop analytic techniques

Develop analytic algorithms

Integrate open-source software

Integrate COTS products

Generate data visualizations

Convert data into usable formats

Support teams to scale platforms

Support teams to monitor platforms

Support teams to operate platforms

How You'll Work.

Team & Collaboration

Client collaboration; Teammate guidance

Full Job Description

Data Scientist **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. **You Have:** * 4+ years of experience using data science programming languages, such as Python or R * Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage * Experience with version control tools, including git, GitLab, GitHub, or Bitbucket * Experience developing scripts and programs for converting various types of data into usable formats and supporting project teams to scale, monitor, and operate data platforms in support of specific mission goals * Knowledge of statistical analysis, predictive modeling, and machine learning methods * Ability to design and develop automated analy

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