Data Scientist, Mid

Booz Allen Hamilton

Quick summary

Work type
On-site
Location
Springfield, VA
Salary
$77,600–$176,000 / yr
Posted
4 days ago
Closes
Sep 8, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $156k
This role $127k
$64k most similar roles pay here $202k

This role pays less than 60% of similar roles. Most pay $126,800–$184,337 — the shaded band above. At the midpoint, this role pays about $127k versus about $156k for comparable roles.

Based on 240 similar postings.

Employer

About Booz Allen Hamilton

Booz Allen Hamilton is a management and technology consulting firm that provides analytics, digital, engineering, and cybersecurity solutions primarily to U.S. government agencies and commercial clients. Industry: Management & Technology Consulting

Booz Allen Hamilton currently has 702 open roles on FindRole.

Listed pay typically runs $86,800–$198,000 across 693 roles with salary data.

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View all roles at Booz Allen Hamilton

At a glance

TL;DR · Data Scientist, Mid

As a mid-level data scientist on a Space Force program, you will join a multi-disciplinary team to develop and deploy analytic models that enhance decision-making for operational users. Your daily tasks include designing end-to-end workflows from complex mission data ingestion to model deployment in cloud-native environments like AWS or Azure. You will use Python, SQL, TensorFlow, PyTorch, and other AI/ML libraries to build and validate models, ensuring they meet accuracy and usability standards. Additionally, you will support multi-INT fusion analytics, anomaly detection, and feature engineering for real-time data processing. This role requires experience with geospatial datasets, distributed computing, and cloud-native ML platforms, as well as the ability to collaborate effectively in a high-tempo environment.

What you'll do

  • Design and validate analytics for multi-INT and space-system data.
  • Build and evaluate AI/ML models using modern libraries like TensorFlow.
  • Contribute to data engineering workflows, including ingestion and transformation.
  • Develop analytic prototypes and support their deployment in cloud environments.
  • Integrate models into mission-critical workflows for real-time data processing.
  • Perform feature engineering and hyperparameter tuning for anomaly detection.
  • Document analytic methods, assumptions, performance metrics, and validation.

What we're looking for

  • Experience in data science, applied analytics, and machine learning.
  • Proficiency with geospatial and multi-intelligence datasets.
  • Expertise in distributed computing environments and high-volume data handling.
  • Ability to integrate models into production workflows using cloud-native platforms.
  • Strong skills in SQL and Python for data queries and transformations.
  • Capability to support analytic concepts of operations and document technical approaches.
  • Experience collaborating effectively in a fast-paced environment with mission stakeholders.

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