Staff/Principal Product Data Scientist: AI-Driven Insights

salesforce.com, inc.; Seattle (WA); On-site; USD 173,000 - 314,000; Full time

Job summary

Salesforce is seeking Staff & Principal Product Data Scientists to shape data-driven product decisions across Slack. You will partner with PDE and GTM teams to define product landscapes, derive insights, and influence strategy. You’ll design Slack's agentic data delivery platform and build self-serve analytics foundations.

You will lead evidence-based evaluations, develop success metrics, and communicate findings to executives, enabling data-informed adoption and business value across teams.

Qualifications

• 5+ years of experience in product data science in related tech industries.
• A consistent record of using data to drive product teams to achieve ambitious goals and influence company-level outcomes.
• Advanced proficiency in SQL and at least one programming language for data science, such as Python, R, or Scala. Knowledge of workflow orchestration tools like Apache Airflow is highly desirable.
• Strong foundation in statistics, experimentation, causal inference, ML, and analytical problem-solving.
• Experience working with large-scale data technologies such as Spark, Presto, Hive, Hadoop, or similar distributed data platforms.
• Proven ability to communicate complex analytical findings clearly to executive and cross-functional audiences.
• A BS degree in a quantitative field; MS/PhD is a strong plus.

Responsibilities

• Establish strong partnerships with product stakeholders to identify opportunities, prioritize roadmaps, and implement execution excellence.
• Evangelize evidence-based decision-making by partnering with key leaders and driving accessibility of data and insights.
• Perform evidence-based evaluations of the most important drivers for increased adoption of Slack product capabilities.
• Build key success metric frameworks and self-serve reporting to monitor Slack product health.
• Prototype foundational data models and partner with Data Engineering functions to elevate these into canonical sources of truth.
• Contribute to the design and implementation of Slack's agentic data delivery platform.
• Quantitatively identify potential product opportunities to improve user experiences and unlock business value.
• Partner closely with Product Researchers to align roadmaps and collaborate on projects to answer complex questions.

Skills

SQL

Python

R

Scala

Statistics

Experimentation

Causal Inference

Spark

Presto

Hive

Hadoop

Education

BS in quantitative field (e.g., Computer Science, Economics, Physics)

MS/PhD preferred

Tools

Spark

Presto

Hive

Hadoop

Job description

Salesforce is seeking Staff & Principal Product Data Scientists to shape data-driven product decisions across Slack. You will partner with PDE and GTM teams to define product landscapes, derive insights, and influence strategy. You’ll design Slack's agentic data delivery platform and build self-serve analytics foundations.

You will lead evidence-based evaluations, develop success metrics, and communicate findings to executives, enabling data-informed adoption and business value across teams.