Support our security analysts by continuously improving alert quality, workflow efficiency, and detection capabilities through advanced analytics, machine learning, and Gen AI.
Work across our operations, engineering and service delivery teams, ensuring Expel can easily deploy, monitor, and manage all of our machine learning capabilities.
Drive business decisions by translating data insights into clear, actionable knowledge for the organization.
Foster an atmosphere of experimentation, continuous learning, and improvement.
Maintain and enhance our existing models while supporting new data science initiatives.
Contribute to Expel’s external voice through blog posts and conference speaking.

Requirements

Ability and desire to collaborate and work with teams throughout the organization to foster research and innovation
Ability to communicate technical data science concepts to various audiences, especially non data science experts
Passion for finding order and meaning in large, chaotic data sets an amorphous problem domains
Deep proficiency with Python (pandas, numpy, sklearn) and SQL for model development.
Knowledge of statistics (distributions, hypothesis testing, probability, etc.)
Proficiency of a few popular data science and visualization frameworks such at scikit-learn, plotly, pandas, and numpy, and the underlying statistics that drive them
Understanding of data engineering and proven experience with cloud deployment best practices
Prefers 3+ years of data science experience creating models, analyzing data and drawing conclusions, recommending next steps, and summarizing key results to stakeholders
A Bachelor’s degree in Math, Statistics, or Computer Science (or equivalent experience in AI/ML).

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLmachine learningdata sciencestatisticsdata visualizationdata engineeringmodel developmenthypothesis testingcloud deployment

Soft Skills

collaborationcommunicationinnovationproblem-solvingexperimentationcontinuous learningdata interpretationstakeholder engagementadaptabilitycreativity