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Data Scientist, Mid in San Antonio, TX at Booz Allen Hamilton Inc.

Date Posted: 3/5/2019

Job Snapshot

Job Description

Job Number: R0047184

Data Scientist, Mid

The Challenge:

Are you excited at the prospect of unlocking the secrets held by a data set? Are you fascinated by the possibilities presented by the IoT, machine learning, and artificial intelligence advances? In an increasingly connected world, massive amounts of structured and unstructured data open up new opportunities. As a data scientist, you can 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 — you know the answers are in the data.

We have an opportunity for you to use your analytical skills to improve data analytics and help desk capability with a program management office (PMO) supporting a military client. You’ll work closely with your customer to understand their questions and needs, then dig into their data-rich environment to find the pieces of their information puzzle. You’ll develop algorithms, write scripts, build predictive analytics, use automation, apply machine learning, provide help desk support, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help senior leadership make informed decisions. You’ll provide your customer with a deep understanding of their data, what it all means, and how they can use it. Join us as we use data science for good in the PMO.
 

Empower change with us.

Build Your Career:

At Booz Allen, we know the power of analytics and we’re dedicated to helping you grow as a data analysis professional. When you join Booz Allen, you can expect:

  • access to online and onsite training in data analysis and presentation methodologies, and tools like Hortonworks, Docker, Tableau, and Splunk
  • a chance to change the world with the Data Science Bowl—the world’s premier data science for social good competition
  • participation in partnerships with data science leaders, like our partnership with NVIDIA to deliver Deep Learning Institute (DLI) training to the federal government

You’ll have access to a wealth of training resources through our Analytics University, an online learning portal specifically geared towards data science and analytics skills, where you can access more than 5000 functional and technical courses, certifications, and books. Build your technical skills through hands-on training on the latest tools and state-of-the-art tech from our in-house experts. Pursuing certifications? Take advantage of our tuition assistance, on-site bootcamps, certification training, academic programs, vendor relationships, and a network of professionals who can give you helpful tips. We’ll help you develop the career you want, as you chart your own course for success.

You Have:

-5+ years of experience in a professional or academic work environment

-1+ years of experience in the data science, analytics, and help desk support fields

-Experience with troubleshooting IT problems in a help desk and desktop support role

-Experience in programming with data analysis software, including Python or R

-Ability to perform vulnerability and risk analyses of information systems and applications during all phases of the system development life cycle

-Ability to train customers on information system applications

-Ability to obtain and maintain system administrator privileges

-Ability to independently support application, BI, and analytics efforts requiring data and database expertise with little or no supervision

-Ability to obtain a security clearance

-BA or BS degree

Nice If You Have:

-Experience with applying machine learning at scale using recommended systems, NLP, or time series prediction

-Ability to develop statistical tests to make data-driven recommendations and decisions

-MS degree

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, veteran status, or other protected characteristic—to fearlessly drive change.

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