Data Scientist

Expel

. Support security analysts by improving alert quality, workflow efficiency, and detection capabilities through advanced analytics, machine learning, and Gen AI .

Posted 10/8/2026full-timeRemote • United StatesMid-LevelSenior💰 $118,400 - $171,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates deep proficiency in Python and SQL for data science, with a strong ability to translate complex data insights into actionable business knowledge. Proven experience in machine learning model development and cloud deployment best practices enhances cybersecurity outcomes.

Highest-signal resume keywords

Python ProficiencySQL ProficiencyData Science ExperienceMachine Learning Model DevelopmentCloud Deployment Best Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLStatisticsData VisualizationMachine LearningData EngineeringPandasNumpyScikit-LearnPlotly

Soft Skills

CollaborationCommunicationProblem-SolvingContinuous LearningExperimentation

Industry Keywords

Data ScienceCybersecurityAnalyticsAI/MLData Insights

Tech Stack

Tools & technologies

CloudCyber SecurityNumpyPandasPythonScikit-LearnSQL

About the role

Key responsibilities & impact

Support security analysts by improving alert quality, workflow efficiency, and detection capabilities through advanced analytics, machine learning, and Gen AI
Work across operations, engineering, and service delivery teams to deploy, monitor, and manage machine learning capabilities
Translate data insights into clear, actionable organizational knowledge to drive business decisions
Foster experimentation, continuous learning, and improvement
Maintain and enhance existing models while supporting new data science initiatives
Contribute to Expel's external voice through blog posts and conference speaking
Transform complex information-security data into actionable insights and tools that improve cybersecurity outcomes

Requirements

What you’ll need

Ability and desire to collaborate with teams throughout the organization
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 and amorphous problem domains
Deep proficiency with Python, including pandas, numpy, and sklearn
SQL proficiency for model development
Knowledge of statistics, including distributions, hypothesis testing, and probability
Proficiency with data science and visualization frameworks such as scikit-learn, plotly, pandas, and numpy
Understanding of data engineering
Proven experience with cloud deployment best practices
3+ years of data science experience creating models, analyzing data, drawing conclusions, recommending next steps, and summarizing key results to stakeholders
Bachelor's degree in Math, Statistics, or Computer Science, or equivalent experience in AI/ML
Authorized to work in the United States
No immigration visa sponsorship available

Benefits

Comp & perks

Bonus eligibility
Equity for everyone
Unlimited PTO
Work location flexibility
Up to 24 weeks of parental leave
Excellent health benefits
Collaborative mentorship
Hands-on stretch assignments
Small, transparent startup environment