Senior Data Scientist (SMTS)

Salesforce•Bellevue, WA

About The Position

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.

Requirements

At least four (4) years experience in a related field; OR At least two (2) years experience , plus a graduate degree (Masters' at least) in a related technical field
Strong fundamentals in applied statistics and probability
Demonstrated experience delivering advanced data mining or machine learning techniques as a lead or sole contributor.
At least two (2) years of experience in selecting and applying machine-learning techniques; OR at least two (2) years of experience mining datasets over 1 TB in volume.
Strong programming skills in Java, Python, or Scala
Excellent communication skills
Experience formulating, leading, and executing applied-research projects and assisting in their production implementation.

Nice To Haves

Strong understanding of security, including threat propagation and signal correlation.
Experience in applying AI and big-data techniques to security, specifically in anomaly detection, pattern recognition, behavior-based analysis, and correlation.
Related experience in genomics, high-speed trading, or other domains involving pattern recognition or behavior-based analysis

Responsibilities

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.