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About the Role
As a data scientist, 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.
Responsibilities
- Create real-world impact using leadership skills and data science expertise.
- Work closely with clients to understand their questions and needs.
- Analyze data-rich environments to find information.
- Guide teammates and lead the development of algorithms and systems.
- Use tools and frameworks to turn disparate data points into objective answers.
- Advise clients in making informed decisions.
- Provide a deep understanding of data, its meaning, and its application.
Requirements
- 5+ 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
- Active TS/SCI clearance; willingness to take a polygraph exam
- Bachelor’s degree
Skills
- Python
- R
- ETL pipelines
- API querying
- Data cleaning
- Data conditioning
- Schema creation
- Git
- GitLab
- GitHub
- Bitbucket
- Statistical analysis
- Predictive modeling
- Machine learning
- Automated analytic software development
- Algorithm development
- GEOINT
- HUMINT
- MASINT
- OSINT
- SIGINT
- Deep Learning
- AI frameworks
- PyTorch
- TensorFlow
- Keras
- Retrieval-Augmented Generation (RAG)
- Large Language Models (LLM)
- DevOps
- CI/CD pipelines
- Jenkins
- FOSS integration
- COTS product integration
- Data visualization
- Kibana
- Tableau
- Power BI
- SQL
- NoSQL
Location
- Remote
- Hybrid
- Onsite
Work Type
- Full-time
- Part-time
Experience Level
- Senior
Education Level
- Bachelor’s degree
Salary/Compensations
- $99,000.00 to $225,000.00
Benefits
- Health benefits
- Life insurance
- Disability insurance
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care
- Recognition awards program
About the Company
- Booz Allen celebrates your contributions, provides opportunities and choices, and supports your total well-being.
- AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools.
- Our people-first culture prioritizes the benefits of collaboration.
Equal Opportunity
- All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.