Booz Allen
DataScientist,Mid
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Scientist, Mid at Booz Allen. Skills: Data science, Machine learning, AI, Data visualization. Turn complex data sets into useful information. Find answers in the data”
What You'll Achieve.
Solve global challenges; Advise clients as they make informed decisions
Industry & Context.
Root cause analysis; Troubleshooting
TS/SCI clearance, TS/SCI clearance with a polygraph
What They're Looking For.
Must Have
2+ years of experience using data science programming languages, Experience creating ETL pipelines, Experience with version control tools, Knowledge of statistical analysis, Knowledge of predictive modeling, Knowledge of machine learning methods, Ability to design and develop automated analytic software, Ability to design and develop analytic techniques, Ability to design and develop analytic algorithms, Ability to develop solutions and integrate FOSS, Ability to develop solutions and integrate COTS products, Ability to generate data visualizations, TS/SCI clearance, Bachelor’s degree and 3+ years of experience in data science, 7+ years of experience in data science in lieu of a degree
Nice to Have
Experience working with GEOINT, Experience working with HUMINT, Experience working with MASINT, Experience working with OSINT, Experience working with SIGINT, Experience with intelligence analysis, Experience with operations analysis in the DoD, Experience with operations analysis in the Intelligence Community, Knowledge of DevOps, Knowledge of CI/CD pipelines, Knowledge of Jenkins, TS/SCI clearance with a polygraph
What You'll Do.
Turn complex data sets into useful information
Find answers in the data
Create real-world impact
Work closely with clients
Understand client questions and needs
Dig into data-rich environments
Lead development of algorithms
Lead development of systems
Use tools and frameworks
Turn disparate data points into objective answers
Provide deep understanding of data
Clean and condition data
Create schemas for data storage
Design and develop automated analytic software
Design and develop analytic techniques
Design and develop analytic algorithms
Develop solutions and integrate FOSS
Develop solutions and integrate COTS products
Generate data visualizations
How You'll Work.
Team & Collaboration
Guide teammates
Full Job Description
Data Scientist, Mid **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:** * 2+ 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 * 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 tools such
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