Staff/Principal Product Data Scientist: AI-Driven Product Insights

Salesforce; New York (NY); On-site; USD 208,000 - 345,000; Full time

Job summary

Salesforce is hiring Staff & Principal Product Data Scientists to help build a world-class data ecosystem that supports and scales data-driven product decision-making at Slack. You will work with cross-functional partners to define the product landscape and shape strategy, measuring success and iterating across PDE, GTM, and data delivery.

You will design and implement Slack’s agentic data delivery platform, connecting data backends and analytics to empower self-serve insights.

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.

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 the general 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

Executive communication

Experimentation

Education

BS degree in quantitative field

MS/PhD preferred

Tools

Apache Airflow

Spark

Presto

Hive

Hadoop

Job description

Salesforce is hiring Staff & Principal Product Data Scientists to help build a world-class data ecosystem that supports and scales data-driven product decision-making at Slack. You will work with cross-functional partners to define the product landscape and shape strategy, measuring success and iterating across PDE, GTM, and data delivery.

You will design and implement Slack’s agentic data delivery platform, connecting data backends and analytics to empower self-serve insights.