Key Responsibilities

• Analyze complex product usage patterns to identify optimization opportunities
• Conduct rigorous evidence-based evaluations of growth drivers
• Establish and monitor key success metrics for the product organization
• Synthesize cross-functional insights to identify causal relationships in data
• Act as a subject matter expert to elevate data science operations and best practices
• Democratize data access and insights for stakeholders across the company

Essential

• Minimum of 5 years of professional experience in data science or quantitative analysis
• Proven track record in technology product development or the SaaS/enterprise software sector
• Proficiency in programming languages specifically for data analysis, such as Python or R
• Hands-on experience managing and querying large-scale datasets using Spark, Presto, Hive, or Hadoop
• Demonstrated ability to design and deploy scalable, efficient data models
• Exceptional communication skills with the ability to influence executive-level stakeholders
• Experience applying advanced quantitative measurement techniques within a product environment

Preferred

• Advanced academic degree (MS or PhD) in a quantitative discipline like Mathematics, Statistics, Economics, or Physics
• Deep technical expertise in Apache Airflow for workflow orchestration
• Experience in cross-functional leadership and strategic decision-making

Key Skills