Data Scientist, Mid

Booz Allen Hamilton•Usa, VA
•$77,600 - $176,000

About The Position

The Data Scientist will support an intelligence community agency’s collection and analysis operations by working with the customer to understand questions and needs, then analyzing data in a data-rich environment. The role involves integrating data through scripts, conducting exploratory data analysis to identify patterns, applying machine learning to train predictive models, and using appropriate tools to turn disparate data into objective answers that help mission partners make informed decisions. The position also involves explaining data and insights to customers and supporting the IC’s global mission. Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information; an active Top Secret clearance is required. The listed annualized compensation range is $77,600 to $176,000. Booz Allen provides a range of benefits and programs, including health, life, disability, financial and retirement benefits, paid leave, professional development, tuition assistance, work-life programs, dependent care, and recognition awards. The posting states that the position will close within 90 days from its posting date.

Requirements

  • At least 2 years of experience in data science or engineering, including quantitative analysis, developing visualizations, and processing complex data to create data-driven insights.
  • Experience using Python to manipulate and analyze data.
  • Experience using SQL to conduct complex database queries.
  • Experience communicating information verbally or in writing to audiences with varying levels of technical knowledge.
  • Top Secret clearance.
  • Bachelor’s degree.

Nice To Haves

  • Experience using Apache Spark to aggregate and analyze large data sets from various sources.
  • Experience using the Joint Enterprise Modeling and Analytics (JEMA) framework to develop data processing workflows.
  • Experience developing web services or web applications using Python and Flask or JavaScript.
  • Experience working with AI and machine learning technologies and data systems.
  • Experience using data manipulation and extract, transform, and load (ETL) procedures.
  • Experience working with multiple file types, including geospatial file formats, JSON, and XML.
  • Experience developing data visualizations, dashboards, or lightweight web applications to communicate key insights.
  • Knowledge of commercial cloud services used by the IC.
  • TS/SCI clearance.
  • Master’s degree in Mathematics, Statistics, Computer Science, Data Analytics, or a related technical field.

Responsibilities

  • Work with the customer to understand their questions and needs.
  • Write scripts to integrate data.
  • Conduct exploratory data analysis to discover patterns.
  • Apply machine learning to train predictive models.
  • Use tools to turn disparate data points into objective answers that support informed decisions.
  • Help customers understand their data, its meaning, and how they can use it.
  • Support an intelligence community agency’s collection and analysis operations.

Benefits

  • Health, life, disability, financial, and retirement benefits.
  • Paid leave.
  • Professional development.
  • Tuition assistance.
  • Work-life programs.
  • Dependent care.
  • Recognition awards for exceptional performance and demonstration of company values.
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