Staff / Principal Product Data Scientist - Slack

Slack•Seattle, WA

5d•$172,500 - $344,700•Hybrid

About The Position

Salesforce is seeking Staff & Principal Product Data Scientists to contribute to building a world-class data ecosystem that supports and scales data-driven product decision-making at Slack. In this role, you will collaborate with cross-functional partners to define the product landscape, derive actionable insights, and directly shape product strategy. You will partner with Product, Design, and Engineering (PDE), as well as Go-To-Market (GTM) teams, to contribute directly to product development—shaping what we build, how we measure success, and how we iterate. A key part of this role involves designing and developing Slack’s agentic data delivery platform, connecting data backend, metrics foundations, and insights analyses to enable true data self-serve capabilities within 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 related degree required. A BS degree in a quantitative field (e.g., Computer Science, Economics, Physics); an advanced degree (MS, PhD) is a strong plus.

Nice To Haves

Knowledge of workflow orchestration tools like Apache Airflow is highly desirable.

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.