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Principal Data Scientist

Global leader in CRM software and enterprise cloud computing solutions.
$192,200 - $334,600
Data
Principal Software Engineer
In-Person
5,000+ Employees
7+ years of experience
AI · Enterprise SaaS
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Description For Principal Data Scientist

Salesforce is seeking a Principal Data Scientist to join their team and help build a world-class data science and analytics platform. This role is crucial in supporting and scaling executive-level, data-driven product decision-making. The position involves working closely with data science teams and cross-functional partners to derive insights from data, communicate findings to executives, and drive best practices in product strategy.

The role is based at Salesforce, specifically working with the Slack product team, where they foster a positive, diverse, and supportive culture. The ideal candidate will be curious, bold, and eager to improve every day, embodying the team's values of being smart, humble, hardworking, and collaborative.

As a Principal Product Data Scientist, you'll be responsible for analyzing Slack product usage patterns, conducting evidence-based evaluations, and defining key success metrics. The role requires expertise in data science techniques, strong communication skills, and the ability to translate complex data into actionable insights for leadership.

The position offers comprehensive benefits including medical, dental, vision insurance, mental health support, paid parental leave, 401(k), and an employee stock purchasing program. The salary range varies by location, with the highest range being $230,800 - $334,600 in San Francisco and New York.

This is an excellent opportunity for an experienced data scientist looking to make a significant impact at a leading enterprise software company, working with large-scale data and influencing product decisions at the executive level. The role combines technical expertise with strategic thinking and leadership, making it ideal for someone who wants to shape the future of workplace collaboration tools.

Last updated 2 months ago

Responsibilities For Principal Data Scientist

  • Apply advanced data science techniques to analyze Slack product usage patterns
  • Conduct evidence-based evaluations to determine key drivers of Slack's product growth
  • Define and report key success metrics to Slack and Salesforce leadership
  • Synthesize insights across different product areas and business outcomes
  • Serve as a domain expert in product data science
  • Champion evidence-based decision-making

Requirements For Principal Data Scientist

Python
  • 7+ years of experience in data science or quantitative analysis
  • Technical degree required; advanced degree (MS, PhD) in quantitative field preferred
  • Expertise in at least one programming language for data science (Python, R)
  • Experience working with large-scale data technologies (Spark, Presto, Hive, Hadoop)
  • Strong executive communication skills
  • Cross-functional collaboration and influencing skills
  • Experience designing advanced data pipelines and schemas
  • Strong statistical and machine learning knowledge
  • Expertise in DS measurement methodologies

Benefits For Principal Data Scientist

Medical Insurance
Dental Insurance
Vision Insurance
401k
Mental Health Assistance
Parental Leave
  • Time off programs
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Mental health support
  • Paid parental leave
  • Life insurance
  • Disability insurance
  • 401(k)
  • Employee stock purchasing program

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