Booz Allen Hamilton-posted 8 days ago
$99,000 - $225,000/Yr
Full-time • Mid Level
Usa, MD
1-10 employees

Data Scientist The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help 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, we need you to help find the answers in the data. On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can’t wait.

  • 10+ years of experience c ond ucting modeling and simulation or decision analysis
  • 10+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
  • 5+ years of experience with statistical and general-purpose programming languages for data analysis
  • 5+ years of experience programming with data analysis sof tware such as Python, R, MATLAB, @RISK, ARENA, or SAS
  • Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
  • Experience leading the development of solutions to complex programs
  • Experience with natural language processing, text mining, or machine learning techniques
  • TS/SCI clearance with a polygraph
  • Bachelor’s degree
  • Experience with FOSS and COTS products in statistics, Monte Carlo or discrete event simulation, ETL processes, and quantitative workflow automation
  • Experience working in Windows and Linux OS environments
  • Ability to work with non-technical audiences on technical problems in a highly collaborative and team-oriented environment, and balance long and short-term taskings
  • Ability to take poorly defined problems and convert them into questions for which practical quantitative solutions can be defined
  • Ability to exhibit flexibility, initiative, and innovation to succeed in an ambiguous and fast-paced environment and compose client deliverable quality documentation, analysis, and reports
  • Possession of excellent detail-oriented and organizational skills
  • Possession of excellent verbal and written communication skills
  • Bachelor’s degree in Operations Research, Engineering, Analytics, Data Science, Economics, Applied Mathematics, Statistics, or a related field preferred
  • Master’s degree a plus
  • health
  • life
  • disability
  • financial
  • retirement benefits
  • paid leave
  • professional development
  • tuition assistance
  • work-life programs
  • dependent care
  • recognition awards program
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