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Salary: USD 118,400 - 171,700 / annual
Expel is seeking a Data Scientist to transform complex security data into actionable insights and tools that improve operational efficiency. You will work alongside Detection and Response (D&R) Engineering and Security Operations Center (SOC) teams to deliver iterative improvements in how the company detects and investigates cybersecurity incidents.
In this role, you will support security analysts by continuously improving alert quality, workflow efficiency, and detection capabilities through advanced analytics, machine learning, and generative AI. You'll collaborate across operations, engineering, and service delivery teams to ensure Expel can easily deploy, monitor, and manage machine learning capabilities. You will drive business decisions by translating data insights into clear, actionable knowledge for the organization, maintain and enhance existing models, and contribute to new data science initiatives. You're also expected to foster an atmosphere of experimentation and continuous learning, and contribute to Expel's external presence through blog posts and conference speaking.
The ideal candidate is passionate about finding order and meaning in large, chaotic datasets and amorphous problem domains. You thrive on collaboration and are an adaptable problem-solver who enjoys working with others to turn noisy data into clear capabilities. You should be comfortable communicating technical data science concepts to various audiences, especially non-experts.
**Requirements:**
- 3+ years of data science experience creating models, analyzing data, drawing conclusions, recommending next steps, and summarizing key results to stakeholders
- Deep proficiency with Python (pandas, numpy, sklearn) and SQL for model development
- Knowledge of statistics (distributions, hypothesis testing, probability, etc.)
- Proficiency with popular data science and visualization frameworks such as scikit-learn, plotly, pandas, and numpy, and understanding of the underlying statistics that drive them
- Understanding of data engineering and proven experience with cloud deployment best practices
- Bachelor's degree in Math, Statistics, or Computer Science (or equivalent experience in AI/ML)
- Ability to collaborate and work with teams throughout the organization to foster research and innovation
- Ability to communicate technical data science concepts to various audiences
