Senior Data Scientist (SMTS)

Salesforce

Remote

Quick summary

Work type: Remote
Location: Washington - Bellevue
Salary: $148,500–$223,900 / yr
Posted: 4 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $163k

This role $186k

$97k most similar roles pay here $237k

This role pays more than 67% of similar roles. Most pay $126,800–$199,800 — the shaded band above. At the midpoint, this role pays about $186k versus about $163k 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 135 open roles on FindRole.

Listed pay typically runs $171,200–$260,100 across 119 roles with salary data.

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At a glance

TL;DR · Senior Data Scientist (SMTS)

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The Senior Data Scientist role in Salesforce Cyber Security Operations Center involves working with a dynamic team to secure the Salesforce platform through advanced AI and machine learning techniques. Day-to-day responsibilities include conducting exploratory data analysis, collaborating with threat experts and product teams, building proofs-of-concept for new detection methods, and driving the development of scalable production software. The ideal candidate should have strong programming skills in Java, Python, or Scala, along with a solid background in applied statistics and probability. Experience in delivering advanced data mining or machine learning techniques is essential, as is the ability to formulate and lead research projects while effectively communicating results to stakeholders. This role requires expertise in security-related domains such as anomaly detection and behavior-based analysis, making it ideal for those passionate about applying cutting-edge technology to solve complex business problems at scale.

Skills

Python Java Scala Machine Learning Data Mining Applied Statistics Probability CI/CD Kubernetes AWS Docker Terraform PostgreSQL Messaging Queues Big Data Anomaly Detection Pattern Recognition Behavior-Based Analysis Signal Correlation

What you'll do

Conduct and document rigorous exploratory data analyses of potential source datasets.
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 and maintain AI-driven capabilities for threat detection and analysis.
Communicate effectively with stakeholders through presentations, proposals, and requirements.

What we're looking for

At least 4 years of experience in a related field or 2 years plus a Master's degree.
Strong background in applied statistics and probability.
Proven experience delivering advanced data mining or machine learning techniques independently.
Proficient programming skills in Java, Python, or Scala.
Experience selecting and applying machine-learning techniques to large datasets (over 1 TB).
Excellent communication skills for presentations and proposals.
Formulating, leading, and executing applied-research projects and assisting in production implementation.

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