Staff / Principal Product Data Scientist - Slack
Washington - SeattleAll locationsWashington - SeattleCalifornia - San FranciscoNew York - New YorkGeorgia - Atlanta On-site
$172,500–$313,700 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
We are 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. As Staff & Principal Product Data Scientists, you will work closely with cross-functional partners to define the product landscape, derive actionable insights, and directly shape product strategy. You’ll 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. You will also play a pivotal role in designing and developing Slack’s agentic data delivery platform. By connecting the dots across our data backend, metrics foundations, and insights analyses, you will help us achieve true data self-serve capabilities within an AI and agentic context.
What you'll bring
- 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)
- Knowledge of workflow orchestration tools like Apache Airflow is highly desirable.
- an advanced degree (MS, PhD) is a strong plus.