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Senior Data Scientist; SMTS

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Salesforce
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 148500 - 223900 USD Yearly USD 148500.00 223900.00 YEAR
Job Description & How to Apply Below
Position: Senior Data Scientist (SMTS)

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. It is a company that uses AI, machine learning, and contemporary data techniques to secure the platform.

The Team

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 by leveraging AI and machine learning.

About You
  • Intensely curious about AI and data, adept at analyzing large volumes of data and teasing valuable signals.
  • Researches, experiments with, and proves new techniques in AI, data mining, and machine learning.
  • Partners with threat experts and software engineers to understand evolving threat patterns, champion detection techniques, and build 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 detection.
  • Formulate, build, test, and document proofs‑of‑concept for new threat detection techniques.
  • Drive or assist in engineering scalable production‑ready software for proven techniques.
  • Champion, build, and maintain AI‑driven capabilities for the above.
  • Communicate proactively through presentations, proposals, and requirements to stakeholders.
Required Experience & Skills
  • At least four (4) years experience in a related field, OR at least two (2) years experience plus a graduate degree (Master’s 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 selecting and applying machine‑learning techniques, or 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.
Preferred Skills
  • Strong understanding of security, including threat propagation and signal correlation.
  • Experience applying AI and big‑data techniques to security, specifically 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.
Benefits

Competitive base salary ranging from $148,500 to $223,900 annually, with potential additional compensation, equity, and benefits such as time off, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and employee stock purchasing program.

EEO Statement & Accommodations

Salesforce is an equal‑opportunity employer and maintains a policy of non‑discrimination with all employees and applicants. Reasonable accommodations are available during the application or recruiting process. Salesforce uses artificial intelligence tools to help recruiters assess candidates, but final hiring decisions are made by humans. The company complies with the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, and will consider qualified applicants with arrest and conviction records.

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Position Requirements
10+ Years work experience
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