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Hamilton Company3 days ago

Data Scientist

$77,600–$176,000 year

On-site · Arlington, Virginia, United States or Washington, District of Columbia, United States

Type
Full Time
Level
Mid Level
Education
Bachelors Degree
Company size
Enterprise

Job Summary

Data Scientist role at Booz Allen focused on turning large, diverse data sets into actionable insights. You will work with clients across private and public sectors to understand questions, then dig into data-rich environments to build algorithms and systems that transform disparate data points into objective answers. Responsibilities include data exploration, cleaning, analysis, visualization, and mining of structured and unstructured data; developing predictive models and quantitative analyses; applying machine learning, AI, or NLP techniques; and leveraging tools/frameworks (e.g., Python/R, SQL/NoSQL, Databricks, Hadoop/Spark, visualization packages) to inform decision-making. The position requires collaboration with clients, a Bachelor’s degree, and security clearances (Secret; TS/SCI with polygraph is noted in some postings). The role involves staying abreast of data science methods and delivering real-world impact across sectors such as fraud detection, cancer research, and national intelligence, while adhering to Booz Allen’s work-model guidelines for remote/onsite/hybrid arrangements.

Required Qualifications

  • Bachelor’s degree
  • Secret clearance
  • 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
  • 2+ years of experience with statistical and general-purpose programming languages for data analysis
  • Experience analyzing structured and unstructured data sources
  • Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
  • Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing (NLP)
  • Knowledge of text mining or machine learning techniques
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$78k – $176k / yr

Data Scientist · Hamilton Company

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