Staff Data Scientist, Intercom

• 7 + years experience working with data to solve problems and drive evidence-based decisions
• Excellent SQL skills and good knowledge of statistics
• Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision
• Excellent communication skills (technical and non-technical) and a focus on driving impact
• Strong growth mindset and sense of ownership. Innate passion and curiosity

Desirable

• The Research, Analytics & Data Science (RAD) team at Intercom use data and insights to drive evidence based decision-making
• Data Scientists in RAD partner with teams across R&D to help Intercom make sense of our users, our products and our business, using metrics and data
• You’ll partner with product teams to help them identify important questions and answer those questions with data
• You’ll work closely with product managers, designers and engineers to develop key product success metrics, to set targets, to measure results and outcomes, and to size opportunities
• You’ll design, build and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables
• You’ll partner closely with product researchers to build a holistic understanding of our customers, our products and our business
• You’ll influence our product roadmap and product strategy through experimentation, exploratory analysis and quantitative research
• You’ll build and automate actionable models and dashboards
• You’ll craft data stories and share your findings and recommendations across R&D and the broader company
• You’ll drive and shape core RAD foundations and help us improve how the RAD org operates