Staff/Principal Product Data Scientist - AI Insights

salesforce.com, inc.

San Francisco (CA)

On-site

USD 173,000 - 345,000

Full time

6 days ago
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Job summary

Salesforce is hiring senior data science leaders to build a world-class data ecosystem that informs product decisions for Slack. You will partner with PDE and GTM teams to shape product strategy, measure success, and iterate on data-driven initiatives.

You will design and develop Slack's agentic data delivery platform, connecting data backend, metrics foundations, and insights to enable self-serve analytics at scale.

Qualifications

  • 5+ years in product data science or equivalent tech roles.
  • Proven track record using data to influence product decisions at scale.
  • Strong SQL and one programming language for data science (Python/R/Scala).
  • Experience with large-scale data technologies (Spark, Hadoop, Hive).
  • Excellent communication of complex analyses to exec and cross-functional teams.

Responsibilities

  • Establish partnerships with product stakeholders to shape roadmaps.
  • Drive evidence-based decision making and data accessibility across teams.
  • Evaluate drivers for product adoption and quantify impact on metrics.
  • Build self-serve dashboards and metric frameworks for product health.
  • Prototype data models and collaborate with Data Eng to create canonical sources.
  • Contribute to design and deployment of data delivery platforms for AI Context.

Skills

SQL
Python/Scala/R
Statistics/Experimentation
Data storytelling

Education

BS in quantitative field
MS/PhD a strong plus

Tools

Apache Airflow
Spark/Presto/Hive/Hadoop

Job description

Salesforce is hiring senior data science leaders to build a world-class data ecosystem that informs product decisions for Slack. You will partner with PDE and GTM teams to shape product strategy, measure success, and iterate on data-driven initiatives.

You will design and develop Slack's agentic data delivery platform, connecting data backend, metrics foundations, and insights to enable self-serve analytics at scale.

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