Data Scientist: AI & IoT Insights for Global Impact

Booz Allen Hamilton

Washington (District of Columbia)

On-site

USD 78,000 - 176,000

Full time

30 hours ago
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Job summary

Booz Allen Hamilton is seeking a Data Scientist to extract insights from complex data, including IoT and AI-enabled datasets. You will collaborate with clients to understand questions, then build algorithms and models to deliver actionable outcomes, turning disparate data into objective answers.

A pivotal role in national security and public/private sector projects. Responsibilities emphasize data exploration, modeling, and visualization to support decision-making, with opportunities across

Qualifications

  • 1+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
  • Experience with statistical and general-purpose programming languages for data analysis, including Python
  • Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
  • Knowledge of Machine Learning, Artificial Intelligence (AI), or Natural Language Processing (NLP)
  • Knowledge of text mining or machine learning techniques
  • Secret clearance
  • Bachelor’s degree

Skills

Data exploration
Data cleaning
Data analysis
Data visualization
Data mining
Python
Predictive modeling
Machine Learning
NLP
Text mining
Secret clearance

Education

Bachelor's degree
Bachelor’s degree

Tools

Palantir Foundry
Databricks
MapReduce
Hadoop
Hive
EMR
Kafka
Apache Spark
Gurobi
MySQL

Job description

Booz Allen Hamilton is seeking a Data Scientist to extract insights from complex data, including IoT and AI-enabled datasets. You will collaborate with clients to understand questions, then build algorithms and models to deliver actionable outcomes, turning disparate data into objective answers.

A pivotal role in national security and public/private sector projects. Responsibilities emphasize data exploration, modeling, and visualization to support decision-making, with opportunities across

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