Analytic Methodologist, Mid

Analytic Methodologist, Mid The Opportunity:   As an Analytic Methodologist, 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 artifi cia l intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As an Analytic Methodologist 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 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.   Join us. The world can’t wait.   You Have:     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   develop ing and documenting predictive data models, quantitative analyses, and visualization of targeted data sources    Experience   conducting quantitative so cia l science, including survey design and analysis or field or laboratory experiments, in a professional work environment Ability to   pay strict attention to detail Active TS/SCI clearance; willingness to take a polygraph exam Bachelor’s degree and 3+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing, or 7+ years of experience with scientific techniques such as mathematics, statistics, information science, AI, machine learning, probability modeling, data mining, data engineering, or data warehousing in lieu of a degree Nice If You Have:     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 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 preferred ;   Doctorate degree   in Quantitative So cia l Science a plus Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ;   TS/SCI clearance is required.

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