Unlocking the secrets held by a data set and solving global challenges using IoT, machine learning, and artificial intelligence at Booz Allen
Requirements
- Experience with programming languages, including Python, C++, Java, or R
- 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
- Experience with data orchestration tools, including Airflow
Responsibilities
- Work 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 clients as they make informed decisions
- Conduct analysis with structured, unstructured, or semi-structured data
- Build statistical models and develop machine learning algorithms, including supervised, unsupervised, or reinforcement
- Design and execute machine learning models and applications
- Use data wrangling techniques to cleanse data for data science applications
Other
- TS/SCI clearance
- HS diploma or GED and 8+ years of experience or Bachelor's degree and 5+ years of experience
- Ability to quickly learn new skillsets to solve challenging problems
- Ability to work with clients and teammates
- Must be on camera during interviews and assessments
