Data Scientist (AI)

TL;DR

Data Scientist (AI/ML): Developing algorithms and systems to turn complex structured and unstructured data into actionable information with an accent on predictive modeling, machine learning, and AI. Focus on solving global challenges across public and private sectors, including fraud detection and national intelligence.

Location: Remote (US); occasional in-person visits to Booz Allen or customer facilities may be required.

Salary: $61,900 – $141,000

Company

A leading consulting firm providing data-driven solutions to solve complex global challenges for public and private sector clients.

What you will do

• Analyze large structured and unstructured data sets to solve complex global challenges across various sectors.
• Collaborate with clients to understand their needs and translate them into technical data-rich solutions.
• Develop and deploy predictive data models, quantitative analyses, and machine learning systems.
• Use statistical programming languages and cloud platforms to extract objective answers from disparate data points.
• Provide deep data insights to enable clients to make informed strategic decisions.

Requirements

• 1+ years of experience with data exploration, cleaning, analysis, visualization, or data mining.
• Proficiency in statistical and general-purpose programming languages for data analysis.
• Experience working within cloud data platforms.
• Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing.
• Bachelor's degree.
• Must be authorized to work in the US.

Nice to have

• Experience developing ETL pipelines or algorithms leveraging Python.
• Experience with Databricks or Palantir Foundry.
• Proficiency with visualization software such as Tableau or Qlik.
• Experience with GIS software, including QGIS or ArcGIS.
• Master's degree.

Culture & Benefits

• Comprehensive health, life, disability, and retirement benefits.
• Financial support, tuition assistance, and professional development opportunities.
• Paid leave and various work-life balance programs.
• Recognition awards program for exceptional performance.
• People-first culture emphasizing both virtual and in-person collaboration.