Data Scientist, Cloudflare

• Thorough understanding of statistical modeling, hypothesis testing, and various machine learning algorithms, including their strengths and weaknesses across different data types
• Desire to see a data-driven project through all the way from initial research and experimentation, through model validation, to the delivery of actionable insights and automated processes
• Demonstrated ability to present complex analytical findings clearly and concisely, and actively solicit and incorporate feedback
• Proven ability to deliver high-quality analytical work (what) with strong collaborative and problem-solving behaviors (how)

Desirable

• We're seeking a Data Scientist to join our team and drive the analytical rigor behind our cyber threat intelligence efforts.
• In this highly impactful, hands-on role, you will be instrumental in researching, developing, and applying advanced analytical techniques and statistical models to massive datasets from our global network.
• Your work will uncover patterns, identify anomalies, and build predictive insights to detect and neutralize sophisticated cyber threats. You'll directly enhance our Cloudforce One offering by transforming raw data into critical, real-time threat intelligence, providing unparalleled protection and actionable insights to our customers.
• If you are passionate about applying sophisticated data science to solve complex cybersecurity challenges at an unprecedented scale, we want you on our team
• Collaborate with other Data Scientists and Machine Learning Engineers to design and implement analytical approaches that inform scalable threat detection models
• Partner with threat intelligence analysts to understand emerging attack techniques and leverage data to develop novel detection strategies and expose findings
• Perform in-depth data analysis to identify trends, relationships, and anomalies within vast security datasets
• Develop, validate, and refine statistical and machine learning models for threat detection and intelligence generation
• Monitor the performance of analytical models and threat intelligence pipelines, continuously identifying opportunities for improvement and refinement
• Investigate and resolve data-related issues in production environments, ensuring the accuracy and integrity of our threat intelligence