Data Scientist, Mid

Booz Allen HamiltonFalls Church, VA
21h

About The Position

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 artificial 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 lead the development of AI and machine learning algorithms and provide technical support towards the delivery of next-generation AI capabilities in the area of healthcare fraud, waste, and abuse. 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. Join us. The world can’t wait.

Requirements

  • 2+ years of experience in data science, developing predictive data models, performing quantitative analysis, creating visualizations, and processing complex data to create data-driven insights
  • 1+ years of experience with developing AI, machine learning models, and quantitative analyses and visualization of targeted data sources
  • 1+ years of experience with AI and machine learning for healthcare fraud detection
  • Experience with using healthcare claim data to develop and sustain operational data pipelines supporting AI and machine learning model building
  • Experience in the development of model algorithms leveraging Python, Spark, and SQL
  • Experience with implementing end-to-end machine learning workflows, including from data prep to deployment and evaluation
  • Experience with visualization packages, including Matplotlib, Plotly, Seaborn, or ggplot2
  • Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
  • Bachelor's degree

Nice To Haves

  • Experience with web scraping and analyzing unstructured data
  • Experience with graph analysis and map visualizations
  • Experience with software coding using C++ or Java
  • Experience with federal advising

Benefits

  • Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care.
  • Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values.
  • Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs.
  • Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits.
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