Lead Data Scientist, Machine Learning & Data Infrastructure

Salesforce's Security Data Science team is seeking a Lead Data Scientist to spearhead the development and deployment of advanced security solutions. This role combines deep technical expertise in data science with technical leadership responsibilities, focusing on creating sophisticated analytics and threat detection methodologies for platform security.

The position involves leading the development of real-time security defense products, enhancing machine learning infrastructure, and ensuring operational reliability. You'll be working with cutting-edge technologies including big data processing tools (Spark, Flink, Kafka) and major cloud platforms (AWS, GCP, Azure).

As a senior Individual Contributor, you'll be responsible for directing team efforts within an Agile framework while maintaining hands-on involvement in technical implementation. The role requires expertise in machine learning, data mining, and software engineering, with a focus on applying these skills to practical security challenges.

Salesforce offers a dynamic work environment where you'll be part of a team working on critical security infrastructure. The company's commitment to innovation in AI and data science, combined with its mission of helping companies connect with customers in new ways, makes this an exciting opportunity for someone looking to make a significant impact in the field of security data science.

The ideal candidate will bring both technical excellence and leadership capabilities, able to mentor team members while driving forward sophisticated technical solutions. This role offers the opportunity to work on large-scale systems, implement cutting-edge AI solutions, and shape the future of security analytics at one of the world's leading enterprise software companies.