Principal Data Scientist, Platform Monetization

Quick Facts

• Role: Principal Data Scientist, Platform Monetization

Description

Lead platform data science efforts to define and execute Slack monetization strategy from an agentic platform point of view. Partner with product and GTM stakeholders to uncover insights into how developers and users build, engage with agents, and collaborate on the Slack platform—turning those insights into measurable revenue and adoption outcomes.

Responsibilities

• Partner with product and business stakeholders to identify opportunities, prioritize roadmaps, and ensure execution excellence (including coaching and mentoring).
• Apply statistical methods, experimentation, segmentation frameworks, and forecasting methodologies to understand customer behavior and GTM performance.
• Design measurement strategies and define success metrics to evaluate products, programs, and strategic initiatives.
• Frame and deliver deep-dive analyses to identify opportunities for revenue & product growth, customer adoption, and smoother user journeys.
• Partner with Data Engineering to build trusted datasets and scalable analytical foundations for advanced modeling and experimentation.
• Set a compelling vision and prioritize work based on product strategies and overall business goals.
• Collaborate with product researchers and business strategy partners to align roadmaps and influence topline decision-making.

Requirements

• 7+ years of experience in product data science in related tech industries; 2+ years as a product DS tech lead or in a managerial role is a plus.
• Consistent record of using data to drive product teams toward ambitious goals and influence company-level outcomes.
• Advanced proficiency in SQL and at least one programming language for data science (Python, R, or Scala). Knowledge of Apache Airflow is highly desirable.
• Strong foundation in statistics, experimentation, causal inference, predictive modeling, 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.
• Experience partnering with Product, Sales, Finance, or other GTM organizations to influence strategic decisions.

Benefits

• Benefits and resources supporting work-life balance and mental health support.
• Paid parental leave, life and disability insurance, and time-off programs.
• Medical, dental, and vision coverage.
• 401(k) and an employee stock purchasing program.
• AI agents to help accelerate impact.