Staff/Principal Product Data Scientist — AI-Driven Product Strategy

Salesforce; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Job summary

Salesforce is seeking Staff & Principal Product Data Scientists to help build a world-class data ecosystem for data-driven product decisions. You will work with Product, Design, and Engineering to shape product strategy and measure impact in an agentic AI context.

You will design data delivery platforms, establish metrics, and partner across PDE and GTM to drive adoption and business value in Slack’s product experiences. A BS in a quantitative field is required; advanced degrees are a plus.

Qualifications

• 5+ years of product data science experience in related tech industries.
• Proven track 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 (Python, R, 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 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; an 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 data accessibility.
• Perform evidence-based evaluations of drivers for adoption of product capabilities.
• Build key success metric frameworks and self-serve reporting to monitor product health.
• Prototype foundational data models and partner with Data Engineering to elevate into canonical sources of truth.
• Contribute to the design and implementation of Slack's agentic data delivery platform.
• Quantitatively identify product opportunities to improve user experiences and unlock business value.
• Partner with Product Researchers to align roadmaps and collaborate on complex questions.

Skills

SQL

Python

R

Scala

Statistics

Experimentation

Causal inference

ML

Analytical problem-solving

Spark

Presto

Hive

Hadoop

Communication

Education

Bachelor's degree in a quantitative field

Advanced degree (MS/PhD)

Tools

Apache Airflow

Spark

Presto

Hive

Hadoop

Job description

Salesforce is seeking Staff & Principal Product Data Scientists to help build a world-class data ecosystem for data-driven product decisions. You will work with Product, Design, and Engineering to shape product strategy and measure impact in an agentic AI context.

You will design data delivery platforms, establish metrics, and partner across PDE and GTM to drive adoption and business value in Slack’s product experiences. A BS in a quantitative field is required; advanced degrees are a plus.