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About the Role
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 analytical skills and data science knowledge to create real-world impact. You’ll work closely with your 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 develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Join us. The world can’t wait.
Responsibilities
- Create real-world impact using analytical skills and data science knowledge.
- Work closely with clients to understand their questions and needs.
- Dig into data-rich environments to find information.
- Develop algorithms and systems.
- Use the right combination of tools and frameworks to turn data points into objective answers.
- Provide a deep understanding of the data, its meaning, and its application.
Requirements
- Experience using data science programming languages such as Python, R, or SQL
- 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
- Active TS/SCI clearance; willingness to take a polygraph exam
- HS diploma or GED and 7+ years of experience in data science, or Bachelor’s degree and 3+ years of experience in data science
Skills
- Python
- R
- SQL
- ETL pipelines
- API querying
- Data cleaning
- Data conditioning
- Schema creation
- Version control
- git
- GitLab
- GitHub
- Bitbucket
- Statistical analysis
- Predictive modeling
- Machine learning
- Automated analytic software development
- Algorithm development
- FOSS integration
- COTS product integration
- Data visualization
- Tableau
- Power BI
- ArcGIS
- GEOINT
- HUMINT
- MASINT
- OSINT
- SIGINT
- DevOps
- CI/CD pipelines
- Jenkins
Location
- Remote
- Hybrid
- Onsite
Work Type
- Full-time
- Part-time
Experience Level
- 7+ years of experience in data science (with HS diploma or GED)
- 3+ years of experience in data science (with Bachelor’s degree)
Education Level
- HS diploma or GED
- Bachelor’s degree
Salary/Compensations
- $77,600.00 to $176,000.00
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 employee contributions, provides opportunities and choices, and supports total well-being.
- Booz Allen is committed to the responsible and ethical use of AI tools.
- Booz Allen prioritizes a people-first culture that benefits from collaboration, whether in person or virtually.
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.