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 scripting or scientific languages, including Python, R, C++, or Java
- 2+ years of experience with data analysis and data analysis technology, including PowerBI, ArcGIS, or PowerApps
- 2+ years of experience with applying machine learning techniques and the key parameters that affect their performance in interacting with a technical audience on technical problems
- Experience with using Microsoft Excel and Access
- Knowledge of statistical measures, including confidence intervals and the significance of error measurements, development, or evaluation data sets
- 2+ years of experience in working with a wide range of predictive and decision models and tools for developing models with Big Data programming technologies, including Hadoop, Spark, MapReduce, Accumulo, Cassandra, HBase, R, Mahout, Pig, or Hive
- Experience with developing statistical and simulation models
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 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.
- balancing long– and short–term taskings with accessing, building, and maintaining databases for structured and unstructured datasets
- applying machine learning techniques and the key parameters that affect their performance in interacting with a technical audience on technical problems
- developing statistical and simulation models
Other
- Ability to obtain a Secret clearance
- Bachelor’s degree
- Secret clearance
- Bachelor’s degree in Data Science, Applied Mathematics, CS, Engineering, Statistics, Physics, Computer Networks, or Operations Research
- Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.
