Data Scientist, Mid

Data Scientist, Mid supports an intelligence community agency’s analysis operations by integrating and analyzing data, conducting exploratory work, building predictive machine learning models, and communicating results to support mission decisions.

Location and Work Model

Alexandria, VA (onsite)

Work will primarily be performed at a Booz Allen office or customer facility, with collaboration alongside colleagues and customers as required by the role.

Compensation

The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD).

Role Summary

In this role, you will contribute to intelligence community (IC) analysis operations by turning data into actionable understanding. Responsibilities include integrating and analyzing data, performing exploratory data analysis, training predictive machine learning models, and communicating insights for mission decision-making.

Key Responsibilities

• Collaborate with the customer to understand questions and needs, then examine a data-rich environment to identify relevant information.
• Develop scripts to integrate data from multiple sources.
• Perform exploratory data analysis to uncover hidden patterns.
• Apply machine learning to train predictive models.
• Select appropriate tools to transform disparate data points into objective answers that support mission partners’ decisions.
• Provide the customer with clarity on what the data means and how it can be used.
• Support an IC agency’s analysis operations.

Required Qualifications

• 2+ years of data science experience, including quantitative analysis, visualization development, and processing complex data to produce data-driven insights.
• Experience using Python to manipulate and analyze data.
• Experience using SQL to conduct complex database queries.
• Experience communicating information in verbal or written formats to audiences with varying technical knowledge.
• Top Secret clearance.
• Bachelor’s degree.

Preferred Skills and Experience

• Experience using Apache Spark to aggregate and analyze large datasets 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 with Flask or JavaScript.
• Experience working with AI and ML technologies and data systems.
• Experience using ETL procedures for data manipulation and extraction, transformation, and loading.
• 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.
• Master’s degree in Mathematics, Statistics, Computer Science, Data Analytics, or a related technical field.

Tools and Technologies

• Python
• SQL
• Apache Spark
• Joint Enterprise Modeling and Analytics (JEMA) framework
• Flask
• JavaScript
• ETL
• JSON
• XML
• Geospatial file formats

Security and Identity Verification

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Top Secret clearance is required.

As part of the hiring process, you will be asked to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. Booz Allen reserves the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

Use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Equal Opportunity Statement

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.