Booz Allen
DataScientist
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Scientist at Booz Allen. Skills: data science, Python, R, ETL, statistical analysis, predictive modeling, machine learning, data visualization. unlocking the secrets held by a data set. turning complex data sets into useful information”
What You'll Achieve.
solve global challenges; find the answers in the data; create real-world impact; advise your clients as they make informed decisions
Industry & Context.
unlocking the secrets held by a data set; finding answers in the data; digging into data-rich environments to find pieces of information; turning sets of disparate data points into objective answers; providing a deep understanding of the data, what it all means, and how it can be used
TS/SCI clearance with a polygraph, security investigation, eligibility requirements for access to classified information, on camera during interviews and assessments, cameras on during meetings (for virtual employees)
What They're Looking For.
Must 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 analytic software, techniques, and algorithms, Ability to develop solutions and integrate and extend free and open-source software (FOSS) or COTS products, Ability to generate data visualizations with python libraries such as Tkinter or Streamlit, TS/SCI clearance with a polygraph, Bachelor's degree and 3+ years of experience in data science, or 7+ years of experience in data science in lieu of a degree
Nice to Have
Experience working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT and the data and tools associated with these disciplines, Experience in programming with Java, Experience with intelligence or operations analysis in the DoD or Intelligence Community, Knowledge of DevOps, including CI/CD pipelines and Jenkins, CompTIA Security+ certification
What You'll Do.
unlocking the secrets held by a data set
turning complex data sets into useful information
finding answers in the data
creating real-world impact
working closely with clients to understand their questions and needs
digging into data-rich environments to find pieces of information
leading the development of algorithms and systems
using the right combination of tools and frameworks to turn sets of disparate data points into objective answers
advising clients as they make informed decisions
providing a deep understanding of the data
and how it can be used
creating ETL pipelines
cleaning and conditioning data
creating schemas for data storage
developing scripts and programs for converting various types of data into usable formats
supporting project teams to scale
and operate data platforms
designing and developing automated analytic software
developing solutions and integrating and extending free and open-source software (FOSS) or COTS products
generating data visualizations
How You'll Work.
Team & Collaboration
guide teammates; supporting project teams
Communication Scope
communication
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
Applying for this Data Scientist 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.