Staff Product Data Scientist (Slack)

Role overview

Join as a Staff Product Data Scientist to build a world-class data science analytics platform for product decision-making. You’ll partner with cross-functional teams to define the product landscape, analyze usage data, and help shape product strategy.

Responsibilities

• Collaborate with cross-functional teams to define the product landscape and contribute to product strategy.
• Apply advanced data science techniques to analyze product usage patterns and identify opportunities to improve the product.
• Act as a domain expert in product data science by guiding best practices and advancing data science methodologies.

Requirements

• MS or PhD in a quantitative field (e.g., Mathematics, Economics, Statistics, Physics, Engineering, Quantitative Psychology, etc.).
• 5+ years of experience in data science or quantitative analysis, preferably in technology product development or enterprise software.
• Experience applying advanced quant measurement techniques in a product development environment.
• Ability to design and implement advanced, scalable and efficient data models.
• Strong communication skills to translate complex findings into clear, actionable insights.
• Proficiency in at least one data science programming language: Python or R.
• Proven cross-functional collaboration and influencing skills, impacting decisions at strategic and executional levels.
• Experience with large-scale data technologies (e.g., Spark, Presto, Hive, Hadoop).

Nice to have

• Expertise with Apache Airflow.