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Data Scientist – Mid
Booz Allen Hamilton. Unlock complex structured and unstructured datasets to solve global challenges .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data science programming using Python and R, with a strong focus on machine learning, statistical analysis, and data visualization. Proven ability to develop automated analytic software and integrate various data sources while providing strategic insights to clients.
Highest-signal resume keywords
Data Science Programming (Python, R)Machine LearningStatistical AnalysisData Visualization (Tableau, Power BI, ArcGIS)TS/SCI Clearance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Statistical AnalysisPredictive ModelingAutomated Analytic Software DevelopmentETL Pipeline CreationData Cleaning and ConditioningAlgorithm DevelopmentData IntegrationVersion Control (Git, GitLab, GitHub, Bitbucket)DevOps (CI/CD, Jenkins)Data Science Solutions Development
Soft Skills
Client CollaborationTeam LeadershipProblem SolvingAdvisory Skills
Tools & Technologies
TableauPower BIArcGISIoTMachine Learning Frameworks
Certifications & Qualifications
TS/SCI ClearanceTS/SCI Clearance with Polygraph
Industry Keywords
GEOINTHUMINTMASINTOSINTSIGINTIntelligence CommunityDoD Operations Analysis
Tech Stack
Tools & technologiesETLIoTJenkinsPythonTableauTypeScript
About the role
Key responsibilities & impact- Unlock complex structured and unstructured datasets to solve global challenges
- Work closely with clients to understand their questions and needs
- Analyze data-rich environments to identify useful information
- Guide teammates and lead the development of algorithms and systems
- Select tools and frameworks to transform disparate data points into objective answers
- Provide deep understanding of data and advise clients in informed decision-making
- Develop real-world data science solutions using IoT, machine learning, and artificial intelligence
Requirements
What you’ll need- 2+ years of experience using data science programming languages such as Python or R
- 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
- Bachelor’s degree
- Experience working with GEOINT, HUMINT, MASINT, OSINT, and SIGINT and the data and tools associated with these disciplines
- Experience with intelligence or operations analysis in the DoD or Intelligence Community
- Experience creating ETL pipelines, including querying APIs, cleaning and conditioning data, and creating schemas for data storage
- 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
- Identity verification and fraud-prevention process
- Camera-on expectation during interviews and assessments
- AI tools permitted in interviews only with explicit permission