Lead Data Scientist, Salesforce

• 8+ years of industry experience in applied data science, machine learning, or AI engineering (or 6+ years with a relevant Master’s or Ph.D.)
• 3+ years in a technical leadership capacity (e.g., Lead Data Scientist, Tech Lead, or Principal Individual Contributor) owning project lifecycles from ideation to production
• Deep expertise in applied statistics, probability, and advanced machine learning techniques (deep learning, sequence modeling, anomaly detection, NLP/LLMs)
• Demonstrated experience architecting and deploying ML pipelines and models over large-scale datasets (multi-terabyte or petabyte scale)
• Production-level programming skills in Python, Java, or Scala, along with fluency in big data frameworks (e.g., Spark, PySpark, Flink) and modern MLOps ecosystems
• Proven track record of guiding cross-functional technical decisions and mentoring engineering and data science team members
• Exceptional strategic communication skills, with the ability to influence technical roadmaps and articulate complex concepts to leadership

Desirable

• The Data Science & Analytics team in Salesforce Cyber Security Operations Center seeks an experienced, driven, and creative Senior Data Scientist to join the team
• We explore, invent, build and scale new ways to secure the Salesforce platform
• We leverage AI, machine learning, and contemporary data techniques to advance behavior- and signature-based techniques of many forms
• We partner with threat, product, and engineering teams to deliver defenses that not only operate at scale, but evolve through agentic-based monitoring, testing, and continuous improvement
• We are a growing, highly visible, and highly agile team where experimentation, collaboration, and spirited discussion are the norm
• You’re intensely curious about AI and data and are highly adept in analyzing large volumes of data, then teasing out valuable signals therein. You’re able to seamlessly merge rigor in statistics with awareness of their application to business problems
• You thrive in researching, experimenting with, applying, and proving out new techniques in AI, data mining, and machine learning
• You partner with threat experts to understand evolving threat patterns and their detection. You collaborate effectively with software engineers to champion proven detection techniques, consult in their software implementation, and build and test production software
• Conduct and document rigorous exploratory data analyses of potential source datasets
• Collaborate with internal incident-response, threat-intel, and product teams on evolving threats and their detection
• Formulate,build, test, and document proofs-of-concept for new techniques in threat detection
• Drive or assist in engineering scalable, production-ready software for proven techniques
• Champion, build, and maintain AI-driven capabilities for all of the above
• Communicate proactively and effectively to product, threat-research, and other stakeholders via presentations, proposals, and requirements
• Champion and build AI-driven capabilities for all of the above