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
- 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
- Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing
- Knowledge of text mining or machine learning techniques
- 2+ years of experience in the development of algorithms leveraging R, Python, SQL, or NoSQL
- 2+ years of experience with Distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
- 2+ years of experience with Machine Learning, AI, or NLP
- Experience with visualization packages, including Plotly, Seaborn, or ggplot2
Responsibilities
- As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence.
- You’ll use your analytical skills and data science knowledge to create real-world impact.
- 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.
- Work with us as we use data science for good.
Other
- Secret clearance is required.
- Secret clearance
- TS/SCI clearance with a polygraph
- As part of the application process, you are expected to be on camera during interviews and assessments.
- We reserve the right to take your picture to verify your identity and prevent fraud.
