Data Scientist, Senior

Booz Allen Hamilton•Alexandria, VA

8d•$99,000 - $225,000•Remote

About The Position

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. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. 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. On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll 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. You’ll guide teammates and lead the development of algorithms and systems. You’ll 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. 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. Join us. The world can’t wait.

Requirements

Experience working with AI/ML technologies and data systems
Experience working with multiple file types including geospatial file formats, JSON, and XML
Experience doing quantitative analysis, developing visualizations, and processing complex data to create data-driven insights
Experience with development in languages such as Python for data cleaning and manipulation
Active TS/SCI clearance; willingness to take a polygraph exam
HS diploma or GED and 10+ years of experience with data science, Bachelor's degree and 7+ years of experience with data science, or Master's degree and 5+ years of experience with data science

Nice To Haves

Experience applying NLP algorithms to extract data from documents
Experience with enterprise analytic modernization efforts such as SOM, Computer Vision, automated collection, or automated reporting along with data standardization best practices
Expertise in math, statistics, and quantitative analysis
Experience with various analytic techniques such as classification, regression, clustering, data reduction, and causal modeling

Responsibilities

Use leadership skills and data science expertise to create real-world impact.
Work closely with clients to understand their questions and needs.
Dig into data-rich environments to find information.
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.
Provide a deep understanding of the data, what it all means, and how it can be used.