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Salesforce INC

Lead Data Scientist – Cyber Security Operations Center

3 Locations Posted today

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Skills this job asks for

SalesforceCRMCustomer successMachine learningStatisticsLeadershipProduct management

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Sponsorship verdict

Sponsorship possible

One solid signal, not two. Worth applying, and worth asking about sponsorship early.

  • Employer is on a government sponsor recordThe US Department of Labor certified 1,544 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
  • What Salesforce INC paid sponsored hires in similar roles18 certified filings for “Data Scientist Senior” (Data Scientists) in CA: $171k–$250k, median $213k.
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Employer is on a government sponsor record
The US Department of Labor certified 1,544 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. Source: LCA disclosure data (US Department of Labor (OFLC)).
No salary bar for this route
H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
What Salesforce INC paid sponsored hires in similar roles
18 certified filings for “Data Scientist Senior” (Data Scientists) in CA: $171k–$250k, median $213k. Most were filed at wage level III (56%) — 3 lottery entries, ≈46% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).

US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).

A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.

About the role

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. 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? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Lead Data Scientist – Cyber Security Operations Center The Team The Data Science & Analytics team in the Salesforce Cyber Security Operations Center seeks an experienced, visionary, and driven Lead Data Scientist to help protect our customers and identify malicious activity on our platforms. We explore, invent, build, and scale advanced capabilities to secure the Salesforce platform. We leverage AI, machine learning, and contemporary data techniques to advance behavior- and signature-based detection mechanisms. As a technical leader on a growing and highly visible team, you will establish technical direction, architect end-to-end detection frameworks, and partner with executive, threat, product, and engineering teams to deliver autonomous defenses that operate at cloud scale—evolving through agentic-based monitoring, testing, and continuous improvement. About You • Technical Leader & Strategist: You possess a deep passion for AI and data, combined with a proven track record of converting complex security challenges into scalable data science initiatives. You bridge rigorous statistical theory with high-impact business and operational security outcomes. • Innovator & Architect: You thrive on researching, evaluating, and architecting cutting-edge techniques in generative AI, agentic workflows, data mining, and machine learning, driving innovations from initial concept through production deployment. • Force Multiplier: You are a natural collaborator and mentor who elevates those around you. You partner fluently with threat intelligence experts to decipher emerging attack vectors and collaborate with principal software engineers to set the architectural standards for production security algorithms. • You wanna stop bad guys: You enjoy creating chaos for cyber attackers and want to disrupt their operations.  Responsibilities • Strategic & Technical Leadership: Define the technical vision, methodology, and roadmap for data science and AI-driven detection capabilities within the CSOC. • Architecture & Delivery: Architect, build, and oversee the execution of proofs-of-concept for novel threat detection models, ensuring seamless transition into high-throughput, scalable production software. • Cross-Functional Influence: Lead partnerships with incident response, threat intelligence, detection engineering, and product security teams to identify detection gaps and model evolving adversary behavior. • AI & Agentic Systems Ownership: Champion, design, and maintain enterprise AI-driven capabilities, including agentic monitoring systems, automated threat correlation, and continuous model feedback loops. • Mentorship & Technical Governance: Mentor senior and junior data scientists, establish best practices for code quality, model governance, testing, and ML pipeline reliability. • Executive Communication: Translate complex machine learning models and security signals into actionable insights and strategic proposals for secur

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