Booz Allen Hamilton Inc. Job - 29554783 | CareerArc
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Company: Booz Allen Hamilton Inc.
Location: Norfolk, VA
Career Level: Entry Level
Industries: professional services

Description

Job Number: R0058881

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 a wide variety of capabilities for our clients across numerous market spaces. 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, have opportunities to publish, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help every branch of the military 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 a rapidly growing data science team with a diverse background.

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, onsite 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:

-3 years of experience with R, Python, or SQL for data manipulation, quality assurance, data cleaning, normalization, analysis, and modeling

-Knowledge of statistics, machine learning, deep learning, or natural language processing

-Ability to manipulate large or complex databases, develop appropriate data models, track and evaluate patterns of care and outcomes, and apply analytical and statistical methods, including predictive models to evaluate and solve healthcare problems

-Secret clearance

-BA or BS degree

Nice If You Have:

-Experience with JavaScript, SAS, PySpark, AWS, or Azure

-Possession of excellent oral and written communication skills

-MA or MS degree preferred; PhD degree a plus

Clearance:

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

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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