Data Science Capability Lead in Beavercreek, OH at Booz Allen Hamilton Inc.

Date Posted: 5/19/2018

Job Snapshot

Job Description

Job Number: R0026987

Data Science Capability Lead

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 leadership and analytical skills to improve the capacity of the US Air Force to harvest strategic and operational insights from its data. You’ll work closely with your customer to understand their questions and needs, and then dig into their data-rich environment to find the pieces of their information puzzle. You’ll mentor teammates, develop algorithms, build predictive analytics, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help the Air Force PEO BES portfolio of systems 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. As a technical leader, you’ll identify new opportunities to use data science solutions to help your customers meet their toughest challenges. Join us as we use data science for good in the US Air Force.


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 boot camps, 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 with one or more scripting or high-level programming language, including Scala, Python, R, or Java

-Experience with quantitative and qualitative analyses

-Knowledge of the operations research field and statistical methods

-Ability to obtain a security clearance

-BA or BS degree


Nice If You Have:

-Experience with creating data visualizations using tools, including Kibana, Clik, or Tableau

-Experience with multiple cluster computing technologies, including Apache Pig, Apache Spark, Apache Hive, Apache Hadoop, Apache Storm, or Apache Kafka

-Experience with AWS EMR

-Experience with data curation discipline and practices

-Experience with Enterprise Metadata Management methods and solutions

-Experience with developing applications using API functionality

-Experience with supervised and unsupervised machine learning algorithms

-Experience with deploying applications in a Cloud environment

-Experience with designing and developing automated analytic software, techniques, and algorithms

-Knowledge of optimization techniques, including linear programming and tools commonly associated with these techniques

-Ability to comprehend the client’s business issues and data challenges quickly

-Ability to lead and work collaboratively on small cross-functional teams or across multiple projects as an SME

-Possession of excellent interpersonal and leadership skills

-Possession of excellent analytical and problem-solving skills, including working independently and addressing ad-hoc challenges


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.

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