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Data Scientist, Mid
Booz Allen Hamilton. Unlock secrets held by data sets and turn complex structured and unstructured data into useful information .
Tech Stack
Tools & technologiesETLJenkinsPythonTableauTypeScript
About the role
Key responsibilities & impact- Unlock secrets held by data sets and turn complex structured and unstructured data into useful information
- Work closely with clients to understand their questions and needs
- Analyze data-rich environments to identify meaningful information
- Guide teammates and lead development of algorithms and systems
- Select tools and frameworks to turn disparate data points into objective answers
- Provide clients with insights to support informed decisions
- Use data science to address challenges across private and public sectors, including fraud detection, cancer research, and national intelligence
Requirements
What you’ll need- 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 as Tableau, Power BI, or ArcGIS
- TS/SCI clearance required
- Bachelor's degree and 3+ years of experience in data science, or 7+ years of experience in data science in lieu of a degree
- Experience working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT and associated data and tools
- Experience with intelligence or operations analysis in the DoD or Intelligence Community
- Knowledge of DevOps, including CI/CD pipelines and Jenkins
- TS/SCI clearance with a polygraph
Benefits
Comp & perks- Health benefits
- Life benefits
- Disability benefits
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program for exceptional performance and superior demonstration of values