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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
- Use leadership skills and data science expertise to create real-world impact.
- Work closely with clients to understand their questions and needs.
- Dig into data-rich environments to find information.
- Guide teammates and lead the development of algorithms and systems.
- Use the right combination of tools and frameworks to turn data points into objective answers.
- Advise clients as they make informed decisions.
- Provide a deep understanding of the data, its meaning, and its application.
Requirements
- 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
- Experience querying, cleaning, and transforming data from relational databases using SQL and APIs
- Ability to perform statistical analysis, predictive modeling, and machine learning
- Ability to generate data visualizations with tools such as Tableau, Power BI, or ArcGIS
- Active TS/SCI clearance; willingness to take a polygraph exam
- Bachelor’s degree and 3+ years of experience in data science, analytics, or engineering, or 7+ years of experience in data science, analytics, or engineering in lieu of a degree
- Experience with intelligence or operations analysis in the DoW or Intelligence Community
- Experience developing and training Natural Language Processing Models (NLP)
- Possession of excellent written and verbal communication skills
- TS/SCI clearance with a polygraph
Skills
- Python
- R
- git
- GitLab
- GitHub
- Bitbucket
- SQL
- APIs
- Statistical analysis
- Predictive modeling
- Machine learning
- Tableau
- Power BI
- ArcGIS
- Natural Language Processing Models (NLP)
Location
- Remote
- Hybrid
- Onsite
Work Type
- Full-time
- Part-time
Experience Level
- Mid-level
- 3+ years of experience in data science, analytics, or engineering
- 7+ years of experience in data science, analytics, or engineering (in lieu of a degree)
Education Level
- Bachelor's degree
Salary/Compensations
- $77,600.00 to $176,000.00
Benefits
- Health benefits
- Life benefits
- Disability benefits
- 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.