Lead Data Scientist

2 days ago

United States Salesforce Full-time
Senior Data ScientistSalesforce is the #1 AI CRM, where humans with agents drive customer success together. Tech meets trust. And innovation isn't a buzzword — it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? Agentforce is the future of AI, and you are the future of Salesforce.
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 are a growing, highly visible, and highly agile team where experimentation, collaboration, and spirited discussion are the norm.
About YouYou'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 collaborate effectively with software engineers to champion proven detection techniques, consult in their software implementation, and build and test production software.

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 detectionFormulate, 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.
Champion and build AI-driven capabilities for all of the above.
Required Experience

Skills:
At least four (4) years experience in a related field; ORAt least two (2) years experience, plus a graduate degree (Masters' at least) in a related technical fieldStrong fundamentals in applied statistics and probabilityDemonstrated experience delivering advanced data mining or machine learning techniques as a lead or sole contributor. 1At least two (2) years of experience in selecting and applying machine-learning techniques; 1Strong programming skills in Java, Python, or ScalaExcellent communication skillsExperience formulating, leading, and executing applied-research projects and assisting in their production implementation.
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 analysisUnleash Your PotentialWhen you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world.
AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. It means that at Salesforce, we believe in equality for all. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
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