Data Scientist — AI/ML for Global Impact & Innovation

Booz Allen Hamilton; Arlington (VA); Sur place; USD 99 000 - 225 000; Plein temps

Résumé du poste

Booz Allen Hamilton in Arlington, VA is hiring a Data Scientist to transform large, complex data into actionable insights across IoT, AI, and analytics projects for government and commercial clients.

You will lead data exploration, build predictive models, and collaborate with cross-functional teams to solve real-world challenges while navigating security requirements and a strong emphasis on integrity and impact.

Qualifications

• 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
• 3+ years of experience providing data science insights to support resource management or workforce decisions.
• 3+ years of experience with statistical and general-purpose programming languages for data analysis.
• 3+ years of experience analyzing structured and unstructured data sources.
• Experience developing predictive data models, quantitative analyses and visualization of targeted data sources.
• Experience leading the development of solutions to complex programs.
• Experience with natural language processing, text mining, or machine learning techniques.
• Secret clearance.
• Bachelor's degree.

Responsabilités

• Lead data science projects from problem definition to deployment.
• Collaborate with clients to understand questions and data context.
• Develop algorithms and systems to turn data into actionable insights.

Connaissances

Data exploration

Data cleaning

Data analysis

Data visualization

Data mining

Statistical programming

Python

R

NLP / ML techniques

Formation

Bachelor's degree

Master's degree

Outils

Python

SQL/NoSQL

Databricks

Hadoop

Spark

Kafka

Gurobi

MySQL

Description du poste

Booz Allen Hamilton in Arlington, VA is hiring a Data Scientist to transform large, complex data into actionable insights across IoT, AI, and analytics projects for government and commercial clients.

You will lead data exploration, build predictive models, and collaborate with cross-functional teams to solve real-world challenges while navigating security requirements and a strong emphasis on integrity and impact.