As a Data Scientist at Booz Allen, help turn complex data sets into useful information to solve global challenges across private and public sectors, from fraud detection to cancer research to national intelligence.
Requirements
- 3+ years of experience implementing machine learning models to analyze collected data in Python leveraging libraries
- 2+ years of experience analyzing structured and unstructured data sources
- Experience with data cleansing, data analytics, inferential statistics, programming, and system integration to provide data solutions
- Experience with engineering and testing and evaluating the performance of AI prompts
- Knowledge of appropriate analytic methods and methodological tools in applied mathematics or computer programming
- Experience with AWS, including S3 or Lambda, or equivalent cloud service providers
- Ability to apply supervised and unsupervised machine learning algorithms on structured and unstructured datasets
Responsibilities
- use your analytical skills and data science knowledge to create real-world impact
- dig into their data-rich environments to find the pieces of their information puzzle
- develop algorithms and systems
- use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions
- provide a deep understanding of the data, what it all means, and how it can be used
- implementing machine learning models to analyze collected data in Python leveraging libraries
- analyzing structured and unstructured data sources
Other
- Ability to execute projects and tasks with minimal guidance and supervision
- TS/SCI clearance with a polygraph
- Possession of excellent critical thinking skills to assess numbers, trends, and data to reach new conclusions based on findings
- Possession of excellent verbal and written communication skills
- You are expected to be on camera during interviews and assessments.
