Staff / Principal Product Data Scientist - Slack

Salesforce•San Francisco, CA

About The Position

Salesforce is seeking Staff & Principal Product Data Scientists to join their Slack team. These roles are crucial for building a world-class data ecosystem that supports and scales data-driven product decision-making. The Product Data Scientists will collaborate with cross-functional partners, including Product, Design, and Engineering (PDE), as well as Go-To-Market (GTM) teams, to define the product landscape, derive actionable insights, and directly shape product strategy. A key responsibility will be designing and developing Slack’s agentic data delivery platform, connecting data backend, metrics foundations, and insights analyses to enable true data self-serve capabilities in an AI and agentic context. Slack fosters a positive, diverse, and supportive culture, valuing curiosity, boldness, and continuous improvement. The team emphasizes being smart, humble, hardworking, and collaborative.

Requirements

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.
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 (e.g., Computer Science, Economics, Physics).

Nice To Haves

Knowledge of workflow orchestration tools like Apache Airflow is highly desirable.
An advanced degree (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 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.