Staff Data Scientist

Salesforce
San Francisco, New York
Workplace: OnsiteFull timeUSD 172,500 - 260,100 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: bachelorsSkills: ["Communication","Cross-functional collaboration","Evidence-based decision making","Analytical thinking","Strategic influence"]

Partner with Slack’s GTM leadership to tackle high-impact business questions using advanced analytics, experimentation, and statistical methods. Develop predictive models, segmentation and forecasting frameworks, and measurement strategies to improve planning and execution. Conduct deep-dive analyses on revenue growth, customer adoption, and field productivity, collaborating with engineering and cross-functional teams to operationalize data science solutions and translate insights into executive-ready narratives.

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FursaFursa
Salesforce
Salesforce
3 days ago

Staff Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 14 minutes agoStatus: Live

Job Summary

Partner with Slack’s GTM leadership to tackle high-impact business questions using advanced analytics, experimentation, and statistical methods. Develop predictive models, segmentation and forecasting frameworks, and measurement strategies to improve planning and execution. Conduct deep-dive analyses on revenue growth, customer adoption, and field productivity, collaborating with engineering and cross-functional teams to operationalize data science solutions and translate insights into executive-ready narratives.
Location: San Francisco, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning

Key Responsibilities

  • •Partner with GTM leadership to identify strategic opportunities and influence key business decisions.
  • •Apply statistical methods, experimentation, and advanced analytics to understand customer behavior and drive growth.
  • •Develop predictive models, segmentation frameworks, and forecasting methodologies for GTM planning and execution.
  • •Design measurement strategies and success metrics to evaluate products, programs, and initiatives.
  • •Build scalable analytical frameworks and partner with Data Engineering and cross-functional teams to operationalize trusted datasets and models.

Pay and Benefits

Salary: USD 172,500 - 260,100 annually
Perks:MedicalDentalVisionHealth InsurancePaid Parental401kLife InsuranceDisability InsuranceEquity

Key Requirements

  • •6+ years applying data science, statistics, or quantitative analysis to solve complex business problems.
  • •Advanced proficiency in SQL and at least one programming language for data science (Python, R, or Scala).
  • •Strong foundation in statistics, experimentation, causal inference, and predictive modeling.
  • •Experience with large-scale data technologies such as Spark, Presto, Hive, Hadoop, or similar distributed platforms.
  • •Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Economics, Mathematics, Engineering) or equivalent practical experience.
Experience:6+ yearsData scienceStatisticsQuantitative analysisExperimentationA/B testingCausal inferencePredictive modelingGTM
Education:Bachelor's
Skills:CommunicationCross-functional collaborationEvidence-based decision makingAnalytical thinkingStrategic influence
Tech Stack:SQLPythonRScalaApache AirflowSparkPrestoHiveHadoopA/B testingCausal inferencePredictive modelingForecastingMachine learning

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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