Data Science expert analyzing product usage patterns at Slack to drive data-driven product decision-making. Collaborating with cross-functional partners and defining key success metrics.
Responsibilities
Apply advanced data science techniques to analyze Slack product usage patterns
Conduct evidence-based evaluations to determine key drivers of Slack’s product growth
Define and report key success metrics
Synthesize insights across different product areas and business outcomes
Serve as a domain expert in product data science
Champion evidence-based decision-making
Requirements
5+ years of experience in data science or quantitative analysis
A related technical degree required
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 communication skills
Able to translate complex technical results into clear, actionable insights
Cross-functional collaboration and influencing skills
Experience designing and implementing advanced data models with scalability and efficiency
Experienced in applying advanced quant measurement techniques in a product development environment.
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