Staff Product Data Scientist - Slack

Salesforce Salesforce · Enterprise · San Francisco, CA +3

Staff Product Data Scientist at Salesforce, focusing on analyzing Slack product usage patterns to drive data-driven product decision-making and strategy. This role involves defining and reporting key success metrics, synthesizing insights, and championing evidence-based decision-making within the product development lifecycle.

What you'd actually do

  1. Apply advanced data science techniques to analyze Slack product usage patterns, identifying what’s working, what’s not, and opportunities for improvement.
  2. Conduct evidence-based evaluations to determine key drivers of Slack’s product growth.
  3. Define and report key success metrics, effectively communicating insights to Slack and Salesforce leadership to enable executive level decision making and follow-ups.
  4. Synthesize insights across different product areas and business outcomes, identifying correlations and causal relationships that drive success.
  5. Serve as a domain expert in product data science, guiding best practices and advancing data science methodologies and operations.

Skills

Required

  • 5+ years of experience in data science or quantitative analysis
  • Expertise in at least one programming language for data science (e.g., Python, R)
  • Experience working with large-scale data technologies (e.g., Spark, Presto, Hive, Hadoop)
  • Strong communication skills
  • Cross-functional collaboration and influencing skills
  • Experience designing and implementing advanced data models with scalability and efficiency
  • Experienced in applying advanced quant measurement techniques in a product development environment

Nice to have

  • Advanced degree (MS, PhD) in a quantitative field (e.g., Mathematics, Economics, Statistics, Physics, Quantitative Psychology, Engineering, etc.)
  • Expertise in Apache Airflow

What the JD emphasized

  • advanced data science techniques
  • evidence-based evaluations
  • key success metrics
  • correlations and causal relationships
  • domain expert in product data science
  • advanced quant measurement techniques