Aviation Data Scientist

Washington, DC

Full-time

Hybrid

$78K/yr - $176K/yr

Entry, Mid Level

Booz Allen Hamilton is seeking an Aviation Data Scientist who will leverage data science to unlock insights from complex data sets. The role involves working closely with clients to analyze data, develop algorithms, and provide actionable insights that address global challenges.

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Responsibilities

Work closely with clients to understand their questions and needs
Dig into data-rich environments to find pieces of the information puzzle
Develop algorithms and systems to turn disparate data points into objective answers
Provide a deep understanding of the data and how it can be used

Qualification

Required

2+ years of experience using Databricks
2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining
2+ years of experience with statistical and general-purpose programming languages for data analysis
Experience analyzing structured and unstructured data sources
Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources
Knowledge of text mining, Machine Learning, Artificial Intelligence, or Natural Language Processing
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor's degree

Preferred

2+ years of experience in the development of algorithms leveraging R, Python, or SQL/NoSQL
2+ years of experience with distributed data and computing tools, including MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL
2+ years of experience with Machine Learning, AI, or NLP
Experience with aviation, geospatial, and weather datasets
Experience with visualization packages, including Plotly, Seaborn, or ggplot2
Master's degree