Principal Product Data Scientist

Slack

Seattle, WA

Full Time

Senior

231k-335k

23 days ago

Job Description

About the Role

We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. We empower you to be a Trailblazer, driving your performance and career growth, charting new paths, and improving the state of the world. We are looking for a seasoned Data Science expert to help build a world-class data science and analytics platform that supports and scales executive-level, data-driven product decision-making. As a 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.

Key Responsibilities

Apply advanced data science techniques to analyze Slack product usage patterns, identifying what's working, what's not, and opportunities for improvement.
Conduct evidence-based evaluations to determine key drivers of Slack's product growth.
Define and report key success metrics, effectively communicating insights to Slack and Salesforce leadership to enable executive level decision making and follow-ups.
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.

Requirements

9+ years of experience in data science or quantitative analysis, preferably in technology product development or enterprise software.
A related technical degree required; an advanced degree (MS, PhD) in a quantitative field (e.g., Mathematics, Economics, Statistics, Physics, Quantitative Psychology, Engineering, etc.) 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).
Strong executive communication skills, with the ability to translate complex data into clear, actionable insights.
Cross-functional collaboration and influencing skills, with a track record of impacting decisions at both strategic and executional levels in a large corporate environment.
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, with the ability to translate technical data into meaningful takeaways for non-technical stakeholders.

Nice to Have

Expertise in Apache Airflow.
Experience in building scalable data schemas and pipelines.

Qualifications

Related technical degree
Advanced degree (MS, PhD) in a quantitative field (e.g., Mathematics, Economics, Statistics, Physics, etc.) is a strong plus

Benefits & Perks

Time off programs
Medical, dental, and vision insurance
Mental health support
Paid parental leave
Life and disability insurance
401(k)
Employee stock purchasing program

Working at Slack

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

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