Analytic Methodologist

Booz Allen Hamilton•Washington, DC

5d•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

3+ years of experience with data exploration, data cleaning, data analysis, data visualization, data mining, decision analysis, or modeling and simulation
3+ years of experience with statistical and general-purpose programming languages for data analysis such as Python or R
Experience developing and documenting predictive data models, quantitative analyses, and visualization of targeted data sources
Experience conducting quantitative social science, including survey design and analysis or field or laboratory experiments
Active TS/SCI clearance; willingness to take a polygraph exam
Bachelor’s degree in Statistics, Data Science, Computer Science, or Quantitative Social Science

Nice To Haves

Ability to work with non-technical audiences on technical problems in a highly collaborative and team-oriented environment and balance long and short-term taskings
Ability to take poorly defined problems and convert them into questions for which practical quantitative solutions can be defined
Ability to exhibit flexibility, initiative, and innovation to succeed in an ambiguous and fast-paced environment and compose client deliverable quality documentation, analysis, and reports
Ability to pay strict attention to detail
Possession of excellent organizational skills
Possession of excellent verbal and written communication skills
TS/SCI clearance with a polygraph
Master’s degree in Quantitative Social Science, including Statistics and Methodological Training, preferred
Doctorate degree in Quantitative Social Science, including Statistics and Methodological Training, a plus

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 as they make informed decisions.
Provide a deep understanding of the data, what it all means, and how it can be used.