Data Scientist, Lead in Chantilly, VA at Booz Allen Hamilton Inc.

Date Posted: 8/1/2018

Job Snapshot

  • Employee Type:
  • Location:
    Chantilly, VA
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:

Job Description

Job Number: R0027850

Data Scientist, 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 analytical skills to improve the intelligence community. 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, design, develop, and deploy an HR data modeling approach to assist with making data-driven workforce planning decisions for a large, specialized, and highly educated workforce at the programmatic and enterprise levels, and use the right combination of tools and frameworks to turn that set of disparate data points into objective answers to help our government client 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 intelligence community.

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 conducting strategic and operational workforce planning and building predictive workforce models, including costing or forecasting models

-5+ years of experience with conducting quantitative and qualitative workforce data analyses using statistical analysis and data visualization software, including Microsoft Excel Macros, SPSS, and Tableau

-Experience with determining creatively which analytic approaches and computing techniques are most appropriate for a given data situation

-Ability to develop efficient, automated processes for large-scale data analyses and model development, validation, and implementation

-Ability to think creatively and analytically in a fast-paced environment

-Ability to communicate effectively with senior clients

-Ability to handle ambiguity and use appreciative inquiry to refine or redefine analytic requirements

-TS/SCI clearance

-BA or BS degree

Nice If You Have:

-5+ years of experience with managing the full life cycle of the workforce planning model, including stakeholder analysis, workload demand analysis, and workforce supply analysis and developing the design, methodology, and final delivery and deployment

-Ability to apply data science and the scientific method to improving workforce performance

-Possession of excellent written communication skills

-BA or BS degree and experience with data analytics, computer science, mathematics, statistics, economics, operations research, computational social science, quantitative finance, engineering, or other data analysis fields preferred; MBA, MA, or MS degree a plus


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. 

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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