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Sr Director, Data Science

Salesforce

$251,900 - $384,100
Aug 20, 2025
San Francisco, CA, US
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Salesforce is looking to build a world-class data science and analytics platform to support and scale executive-level, data-driven product decision-making for Slack, a part of Salesforce. The goal is to drive innovation and product strategy through advanced data science techniques and evidence-based decision-making.

Requirements

  • 12+ years of experience in data science or quantitative analysis, preferably in technology product development or enterprise software.
  • 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).
  • Expertise in Apache Airflow is a strong plus.
  • Strong statistical and machine learning knowledge, with experience building descriptive and predictive models.
  • Expertise in DS measurement methodologies, with the ability to translate technical data into meaningful takeaways for non-technical stakeholders.
  • Experience designing advanced data pipelines and schemas for scalability and efficiency.

Responsibilities

  • Apply advanced data science techniques to scale DS executions across Slack data science and data org.
  • Conduct evidence-based evaluations to determine key drivers of Slack’s product growth.
  • Synthesize insights across different product areas and business outcomes, identifying correlations and causal relationships that drive success.
  • At Sr principal level, Serve as a domain expert in product data science, guiding best practices and advancing data science methodologies and operations.
  • Champion evidence-based decision-making, making data and insights accessible and scalable for stakeholders at all levels.
  • Partner with Product, Design, and Engineering (PDE) to shape what we build, how we measure success, and when/how we iterate, scale, and improve.
  • Design advanced data pipelines and schemas for scalability and efficiency.

Other

  • A related technical degree required; an advanced degree (MS, PhD) in a quantitative field is a strong plus.
  • Strong executive communication skills, with the ability to translate complex data into clear, actionable insights.
  • Cross-functional collaboration and influencing skills, with a track record of impacting decisions at both strategic and executional levels in a large corporate environment.
  • Ability to work in a collaborative and inclusive culture that values curiosity, boldness, and continuous improvement.
  • For California-based roles, the base salary hiring range for this position is $251,900 to $384,100.