Senior Data Scientist, Sophos

• This is an ideal opportunity for someone who thrives in a highly technical, inquiry‑driven environment and wants to influence both the scientific community and real‑world security outcomes through original research
• Fluent in machine learning and statistical concepts
• Able to identify scientific literature relevant to a problem, grasp it and apply it
• Fluent in Python and a database query language like SQL
• Good general writing skills and ability to translate complex concepts for general consumption
• Competent at contributing to scientific papers with minimal assistance. Prior publications and talks a bonus
• Research shows that candidates sometimes hesitate to apply if they don't check every box in a job description. We challenge that notion. Your unique experiences and skills might be exactly what we need to enhance our team. Don't let a checklist hold you back – we encourage you to apply

Desirable

• We are seeking a Senior Data Scientist with a strong research mindset to drive advanced machine learning innovation in the security domain
• In this role, you will lead exploratory research, design and execute experiments with minimal oversight, and develop new methodologies that push the boundaries of ML‑driven security
• You will work hands‑on across data curation, feature development, and model experimentation, while also contributing to scientific publications, internal frameworks, and production‑grade integrations
• Apply general security and ML domain knowledge to problems, identify new avenues of research to apply to current projects
• With minimal supervision, define and execute experiments to support research on a project
• Independently explore data curation and labeling, and feature extraction using domain expertise
• Document results of experiments, draw and support conclusions from those experiments; with assistance, evaluate business case/impact
• Contribute significantly to group publications and presentations, including (with assistance) occasional lead or sole authorship of academic publications and presenting work at academic or industry conferences
• Keep up to date on current research and developments in ML and security
• Contribute to internal tools, including identifying gaps where new functionality would be helpful, and implementing significant changes to tools/frameworks to accommodate new technologies
• Integrate new models into existing frameworks and support hand-off to production
• Support existing model releases, including updates and improvements as needed, and integration with internal tools and systems for production