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About the Role
As a data scientist, you’ll use your analytical skills and data science knowledge to create real-world impact. You’ll work closely with clients to understand their questions and needs, dig into their data-rich environments, and develop algorithms and systems using the right combination of tools and frameworks to turn disparate data points into objective answers. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good.
Responsibilities
- Develop algorithms and systems
- Use the right combination of tools and frameworks to turn sets of disparate data points into objective answers
- Provide a deep understanding of the data, what it all means, and how it can be used
Requirements
- 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
- Experience with statistical and general-purpose programming languages for data analysis, including Python
- Experience analyzing structured and unstructured data sources
- Experience developing predictive data models, quantitative analyses, or visualization of targeted data sources
- Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing (NLP)
- Knowledge of text mining or machine learning techniques
- Secret clearance
- Bachelor’s degree
Skills
- Python
- Machine Learning
- Artificial Intelligence
- Natural Language Processing (NLP)
- Text mining
Location
- Remote
- Hybrid
- Onsite
Work Type
- Full-time
- Part-time
Experience Level
- 2+ years
Education Level
- Bachelor’s degree
- Master’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.
- Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually.
- We are committed to the responsible and ethical use of AI tools.
- We want to ensure a fair candidate process based on your own skills and knowledge.
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.