Data Science Principal

Salesforce
San Francisco, Atlanta, Seattle
Workplace: OnsiteFull timeUSD 197,300 - 313,700 annuallyFunction: Data Science & Machine LearningExperience: 7+ yearsEducation: bachelorsSkills: ["Partnership","Coaching","Mentorship","Collaboration","Communication"]

Lead product data science efforts to shape Slack monetization strategy and execution from an agentic platform perspective. Partner with product, researchers, and GTM stakeholders to identify opportunities, build roadmaps, and deliver deep-dive analyses for revenue growth, adoption, and smooth user journeys. Use advanced statistics, experimentation, segmentation, forecasting, and predictive modeling to inform decisions, while collaborating with data engineering to create trusted datasets and scalable analytical foundations.

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FursaFursa
Salesforce
Salesforce
2 days ago

Data Science Principal

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Source: Company careers pageValidated by: Fursa AI
Last checked: 17 hours agoStatus: Live

Job Summary

Lead product data science efforts to shape Slack monetization strategy and execution from an agentic platform perspective. Partner with product, researchers, and GTM stakeholders to identify opportunities, build roadmaps, and deliver deep-dive analyses for revenue growth, adoption, and smooth user journeys. Use advanced statistics, experimentation, segmentation, forecasting, and predictive modeling to inform decisions, while collaborating with data engineering to create trusted datasets and scalable analytical foundations.
Location: San Francisco, Atlanta, Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Partner with product and business stakeholders to identify opportunities, prioritize roadmaps, and drive execution excellence while coaching and mentoring team members.
  • •Apply statistical methods, experimentation, segmentation frameworks, and forecasting to understand customer behavior and GTM performance.
  • •Design measurement strategies and success metrics to evaluate products, programs, and strategic initiatives.
  • •Frame and deliver deep-dive analyses to identify opportunities for revenue and product growth, customer adoption, and smoother user journeys.
  • •Collaborate with data engineering to develop trusted datasets and scalable analytical foundations for advanced modeling and experimentation.

Pay and Benefits

Salary: USD 197,300 - 313,700 annually
Perks:Time OffHealth InsuranceDentalVisionPaid ParentalLife InsuranceDisability Insurance401kEquity

Key Requirements

  • •7+ years of experience in product data science in related tech industries, with 2+ years in a product DS tech lead or managerial role a plus.
  • •Advanced proficiency in SQL and at least one data science programming language such as Python, R, or Scala.
  • •Strong foundation in statistics, experimentation, causal inference, predictive modeling, and analytical problem solving.
  • •Experience with large-scale data technologies such as Spark, Presto, Hive, Hadoop, or similar distributed data platforms.
  • •Ability to communicate complex analytical findings clearly to executive and cross-functional audiences.
Experience:7+ yearsProduct data scienceGTM
Education:Bachelor's
Skills:PartnershipCoachingMentorshipCollaborationCommunication
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
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