Logistics Analytics Data Scientist

Booz Allen Hamilton•Dahlgren, VA

22h•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

5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
5+ years of experience with statistical and general-purpose programming languages for data analysis
5+ years of experience analyzing structured and unstructured data sources
Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
Experience leading the development of solutions to complex programs
Experience with logistics modeling and analysis, including discrete-event simulation, network modeling, and optimization
TS/SCI clearance
Bachelor’s degree

Nice To Haves

Experience in the development of algorithms leveraging R, Python, or SQL
Experience with ExtendSim or AnyLogic
Experience with visualization packages, including Plotly, Seaborn, or ggplot2
Experience with the verification and validation of complex computational models
Experience with applied logistics, including managing supply chains, scheduling and storage
Experience working in the Defense of Intelligence community and familiarity with Defense or Intelligence data sources and analytic tools
Master's degree

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 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.
Provide a deep understanding of the data, what it all means, and how it can be used.