Senior Data Scientist

Salesforce

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Bellevue, WA
Salary
$148,500–$223,900 / yr
Posted
92 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $165k
This role $186k
$97k most similar roles pay here $238k

This role pays more than 71% of similar roles. Most pay $129,875–$199,850 — the shaded band above. At the midpoint, this role pays about $186k versus about $165k for comparable roles.

Based on 240 similar postings.

Employer

About Salesforce

Salesforce is the world''s leading customer relationship management (CRM) platform, offering cloud-based software for sales, service, marketing, analytics, and application development. Industry: Enterprise Software & Cloud Computing

Salesforce currently has 106 open roles on FindRole.

Listed pay typically runs $148,500–$260,100 across 98 roles with salary data.

Most-posted roles

View all roles at Salesforce

At a glance

TL;DR · Senior Data Scientist

The Senior Data Scientist (SMTS) joins the Data Science & Analytics team within the Cyber Security Operations Center to develop advanced methods for securing the Salesforce platform. This role involves conducting rigorous exploratory data analyses on source datasets, formulating and testing proofs-of-concept for threat detection, and engineering scalable, production-ready software. The candidate will collaborate with threat, product, and engineering teams to implement behavior-based and signature-based defenses using AI and machine learning techniques. Key responsibilities include building AI-driven capabilities and communicating requirements to stakeholders. Required technical skills include proficiency in Java, Python, or Scala, along with strong fundamentals in applied statistics and probability. The role focuses on solving security challenges such as anomaly detection, pattern recognition, and signal correlation within large volumes of data exceeding 1 TB to identify evolving threat patterns.

What does a Data Scientist earn in Remote?

Median $217225 from 40 postings across 18 companies.

See salary data

What you'll do

  • Conduct and document rigorous exploratory data analyses of potential source datasets.
  • Partner with threat, product, and engineering teams to identify and detect evolving threats.
  • Formulate, build, test, and document proofs-of-concept for new threat detection techniques.
  • Engineer scalable, production-ready software for proven detection methods.
  • Build and maintain AI-driven capabilities for data mining and machine learning applications.
  • Communicate project requirements and findings to stakeholders through presentations and proposals.

What we're looking for

  • At least four years of experience in a related field or two years with a Master's degree in a 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 years of experience selecting/applying machine-learning techniques or mining datasets over 1 TB in volume.
  • Strong programming skills in Java, Python, or Scala.
  • Excellent communication skills for presenting to and collaborating with various stakeholders.
  • Experience formulating, leading, and executing applied-research projects and assisting in their production implementation.
  • Preferred experience in security, AI/big-data techniques for anomaly detection, or pattern recognition in complex domains.

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