Data Scientist, Mid

Booz Allen Hamilton • Alexandria, VA

7d • $77,600 - $176,000 • Onsite

About The Position

The Data Scientist will support an intelligence community agency’s collection and analysis operations. The role involves working closely with customers to understand their questions and needs, exploring data-rich environments, and turning complex structured and unstructured data into useful information and objective answers to support informed decisions. The scientist will integrate data, conduct exploratory analysis to uncover patterns, apply machine learning to train predictive models, and use appropriate tools to communicate findings and explain how the data can be used.

Requirements

• At least 2 years of experience in data science or engineering, including quantitative analysis, visualization development, 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 technical knowledge and expertise.
• 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 ML 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 customers to understand their questions and needs.
• Integrate data using scripts.
• Conduct exploratory data analysis to discover patterns.
• Apply machine learning to train predictive models.
• Use tools to turn disparate data into objective answers for mission partners.
• Explain data findings and their meaning and potential uses to customers.

Benefits

• Health, life, disability, financial, and retirement benefits.
• Paid leave.
• Professional development.
• Tuition assistance.
• Work-life programs.
• Dependent care.
• Recognition awards program.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level