Booz Allen Hamilton-posted about 1 year ago
$96,600 - $220,000/Yr
Part-time • Senior
Washington, DC
Professional, Scientific, and Technical Services

As a Predictive Analytics Data Scientist at Booz Allen, you will leverage your expertise in data science to unlock insights from complex data sets. Your role will involve collaborating with clients to address their data-related questions and challenges, utilizing machine learning and artificial intelligence to derive actionable insights. You will lead the development of algorithms and systems, transforming disparate data into coherent information that supports informed decision-making across various sectors, including fraud detection and national intelligence.

  • Collaborate with clients to understand their data-related questions and needs.
  • Analyze structured and unstructured data sources to extract meaningful insights.
  • Develop predictive data models and conduct quantitative analyses.
  • Lead the development of algorithms and systems to solve complex problems.
  • Utilize statistical and programming languages for data analysis and visualization.
  • Guide teammates in data exploration, cleaning, and visualization processes.
  • 5+ years of experience with data exploration, cleaning, analysis, and visualization.
  • 5+ years of experience with statistical and general-purpose programming languages for data analysis.
  • 5+ years of experience analyzing structured and unstructured data sources.
  • Experience developing predictive data models and quantitative analyses.
  • Experience with natural language processing, text mining, or machine learning techniques.
  • Bachelor's degree in a relevant field (Computer Science, Data Science, Computer Engineering, or Statistics).
  • Secret clearance required.
  • Experience with distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
  • Experience with visualization packages, including Plotly, Seaborn, or ggplot2.
  • CompTIA Security+ CE Certification.
  • Health insurance
  • Flexible spending account
  • Tuition reimbursement
  • Retirement plan
  • Paid leave
  • Professional development
  • Dependent care support
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