Staff / Principal Product Data Scientist - Slack

Salesforce
San Francisco, New York, Atlanta, Seattle
Workplace: HybridFull timeUSD 172,500 - 313,700 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Communication","Analytical problem-solving","Collaboration"]

Build and scale a world-class product data ecosystem for Slack, partnering with Product, Design, Engineering, and GTM to define the product landscape, derive actionable insights, and shape product strategy. Design and implement an agentic data delivery platform, create self-serve reporting and success metrics, and use SQL, experimentation, and large-scale data technologies to identify adoption drivers and quantify product opportunities.

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FursaFursa
Salesforce
Salesforce
1 day ago

Staff / Principal Product Data Scientist - Slack

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Build and scale a world-class product data ecosystem for Slack, partnering with Product, Design, Engineering, and GTM to define the product landscape, derive actionable insights, and shape product strategy. Design and implement an agentic data delivery platform, create self-serve reporting and success metrics, and use SQL, experimentation, and large-scale data technologies to identify adoption drivers and quantify product opportunities.
Location: San Francisco, New York, Atlanta, Seattle
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Partner with product stakeholders to identify opportunities, prioritize roadmaps, and execute effectively.
  • •Evangelize evidence-based decision-making by making data and insights broadly accessible.
  • •Evaluate key drivers for increased adoption of Slack product capabilities.
  • •Build success metric frameworks and self-serve reporting to monitor product health.
  • •Design and implement Slack’s agentic data delivery platform and quantify product opportunities.

Pay and Benefits

Salary: USD 172,500 - 313,700 annually
Equity and Bonus:Equity
Perks:MedicalDentalVisionHealth InsuranceParental LeaveLife Insurance401kEquity

Key Requirements

  • •5+ years of experience in product data science in related tech industries.
  • •Advanced proficiency in SQL and at least one of Python, R, or Scala.
  • •Strong foundation in statistics, experimentation, causal inference, ML, and analytical problem-solving.
  • •Experience with large-scale data technologies such as Spark, Presto, Hive, or Hadoop.
  • •A related degree required (BS in a quantitative field); MS/PhD is a strong plus.
Experience:5+ yearsTech industries
Education:Bachelor's in quantitative field (e.g., Computer Science, Economics, Physics)
Skills:CommunicationAnalytical problem-solvingCollaboration
Tech Stack:SQLPythonRScalaApache AirflowSparkPrestoHiveHadoop

Company Brief

Salesforce
Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1999
Glassdoor
Glassdoor: 4.1
WebsiteLinkedInGlassdoor