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
- 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
- 2+ years of experience with statistical and general-purpose programming languages for data analysis
- Experience analyzing structured and unstructured data sources
- Experience developing predictive data models, quantitative analyses and visualization of targeted data sources
- Experience working with Palantir Foundry Envision
- Knowledge of text mining or machine learning (ML) techniques, artificial intelligence (AI), or natural language processing (NLP)
- 2+ years of experience in the development of algorithms leveraging R, Python, or SQL/NoSQL
- 2+ years of experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
- 2+ years of experience with ML, AI or NLP
- Experience with visualization packages, including Plotly, Seaborn, or ggplot2
- Experience working with Advana or Vault
Responsibilities
- You’ll work closely with your 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 develop algorithms and systems and use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to help clients make informed decisions.
- Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used.
Other
- Experience working effectively in teams and interfacing with clients
- Experience developing visually compelling PowerPoint decks and products to support client delivery
- Secret clearance
- Possession of strong verbal and written communication skills
- TS/SCI clearance
