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.
Requirements
- 5+ years of experience with programming languages, including Python, C++, Java, or R
- Experience working with structured, unstructured, or semi-structured data and conducting analysis
- Experience with data wrangling techniques to cleanse data for data science applications
- Experience with building statistical models and developing machine learning algorithms, including supervised, unsupervised, or reinforcement
- Experience with designing and executing machine learning models and applications
- Knowledge of the software development life cycle, testing, and version control
- Experience with distributed programming languages, including Spark or Scala
Responsibilities
- use your leadership skills and data science expertise to create real-world impact
- 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
- guide teammates and lead the development of algorithms and systems
- 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
- provide a deep understanding of the data, what it all means, and how it can be used
- use data science for good
- help find the answers in the data
Other
- Secret clearance
- Bachelor's degree
- Ability to quickly learn new skill sets to solve challenging problems
- Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
- As part of the application process, you are expected to be on camera during interviews and assessments.
