Job Description

We are seeking a seasoned Data Scientist at Sr Principal level to help build a world-class data science and analytics platform that supports and scales executive-level, data-driven product decision-making.

As a Sr Principal Product Data Scientist, you will work closely with data science teams and cross-functional partners to derive insights from data, communicate key findings to executives, and directly drive best practices in product strategy, building, and implementation. You’ll partner with Product, Design, and Engineering (PDE) teams to shape what we build, how we measure success, and when/how we iterate, scale, and improve.

At Slack, we foster a positive, diverse, and supportive culture. We seek people who are curious, bold, and eager to improve every day. Our team values being smart, humble, hardworking, and above all, collaborative.

Key Responsibilities

• Apply advanced data science techniques to scale DS executions across Slack data science and data org.
• Conduct evidence-based evaluations to determine key drivers of Slack’s product growth.
• Synthesize insights across different product areas and business outcomes, identifying correlations and causal relationships that drive success.
• Serve as a domain expert in product data science, guiding best practices and advancing data science methodologies and operations.
• Champion evidence-based decision-making, making data and insights accessible and scalable for stakeholders at all levels.

Required Qualifications

• 12+ years of experience in data science or quantitative analysis, preferably in technology product development or enterprise software.
• Related technical degree required; advanced degree (MS, PhD) in a quantitative field (e.g., Mathematics, Economics, Statistics, Physics, Quantitative Psychology, Engineering) is a strong plus.
• Expertise in at least one programming language for data science (e.g., Python, R).
• Experience working with large-scale data technologies (e.g., Spark, Presto, Hive, Hadoop); expertise in Apache Airflow is a strong plus.
• Strong executive communication skills, with the ability to translate complex data into clear, actionable insights.
• Proven cross-functional collaboration and influencing skills, with a track record of impacting decisions at strategic and executional levels.
• Experience designing advanced data pipelines and schemas for scalability and efficiency.
• Strong statistical and machine learning knowledge, with experience building descriptive and predictive models.
• Expertise in DS measurement methodologies, translating technical data into meaningful takeaways for non-technical stakeholders.

How to Apply:

Apply easily by submitting your application, resume, and a brief cover letter telling us why you’d be a great addition to our team. Simply click Apply Now to get started.