Booz Allen Hamilton Data Analyst/Data Scientist in Alexandria, Virginia

Data Analyst/Data ScientistinAlexandria, VAatBooz Allen Hamilton Inc.

Date Posted:10/18/2018

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Job Snapshot

  • Employee Type:

Full-Time

  • Location:

Alexandria, VA

  • Job Type:

Strategy - Planning

  • Experience:

Not Specified

  • Date Posted:

10/18/2018

About Us

At Booz Allen, we harness our collective ingenuity to solve our clients’ toughest management and technology problems. We work with governments, Fortune 500 corporations, and not-for-profits around the globe, in industries ranging from defense to health, energy to international development. We believe there is no product, code, or strategy that can create progress—only people can. That’s why for more than 100 years we’ve empowered our team: over 24,000 dreamers, drivers, and doers who work together to change the world .

Job DescriptionJob Number: R0040630

Data Analyst/Data Scientist

Key Role:

A Day in the Life of a Data Analyst Consultant at Booz Allen:

Data is a gold mine if you know how to read it. Do you?

Leverage knowledge of Cloud computing technologies as part of the data science team. Work in conjunction with industry-leading Cloud computing technologists and develop machine learning, data mining, and statistical and graph-based algorithms designed to analyze massive datasets. Apply knowledge of and experience with Cloud technologies, partner with Cloud technologists, and ensure proper implementation and usage of algorithms. Work with a large financial government agency to save billions in tax fraud. Help a domestic intelligence agency reduce auto theft. Adapt mathematical and predictive models to deliver healthcare insights. These positions may be located in VA, DC, or MD.

About Booz Allen:

At Booz Allen, we’re empowering people to change the world—starting with you.

On our team, you’ll enhance the security, economic well-being, health, and safety of people at home and around the globe. We’re setting and raising the bar in analytics, consulting, cyber, digital solutions, and engineering & science. We do it by finding the brightest minds and giving them a place to collaborate, take risks, and get even brighter.

Our focus on people isn’t corporate jargon: it’s essential to our success. It’s the reason Fortune, Forbes, Corporate Equality Index, and other organizations have consistently rated us a best place to work. And it’s how we’re going to leave the world better than we found it. Because products alone can’t create progress—but people can. And our people do.

Basic Qualifications:

-Experience with machine learning, data mining, statistics, or graph algorithms in academic or internship environments

-Experience with using R, Perl, Python, SAS, or SPSS for the analysis of data

-Knowledge of an object-oriented language, including Java, C++, C#, or Python

-Knowledge of Hadoop, MapReduce, or HDFS

-Ability to show excellent data gathering, analytical, and problem-solving expertise

-Ability to obtain a security clearance

-Scheduled to obtain a BA or BS degree in Winter 2018 or Spring 2019

Additional Qualifications:

-Pursuing a BS degree in CS, Computer Engineering, Systems Engineering, or a related field preferred; pursuing an MS degree in CS, Computer Engineering, Systems Engineering, or a related field a plus

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

We’re an EOE that empowers our people—no matter their race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or veteran status—to fearlessly drive change.