Senior Data Scientist

Overview

As part of Intercom’s RAD team, you leverage data to inform product strategy and drive measurable impact for millions of users. You partner with product, design and engineering to define success metrics and explore questions with data. You build data pipelines and self-serve insights while shaping how AI is used to accelerate analysis. This role offers scope to influence roadmaps and deliver tangible value through rigorous data science and storytelling.

Pay / Benefits

• competitive salary and equity
• daily lunch and snacks
• health and dental insurance
• open vacation policy and flexible holidays
• paid maternity leave and 6 weeks paternity leave
• MacBook (or equivalent equipment)

Responsibilities

• Partner with product teams to identify key questions and answer them with data
• Collaborate with product managers, designers and engineers to define metrics, targets and opportunities
• Design, build and maintain end-to-end data pipelines and refine data sources
• Work with product researchers to understand customers, products and business holistically
• Influence product roadmap and strategy via exploratory analysis and quantitative research
• Utilize AI-assisted tools to accelerate analysis and insight generation
• Identify opportunities to automate workflows and scale impact
• Build scalable data products and self-serve analytics capabilities
• Help teams interact with data through better abstractions and AI-powered interfaces
• Share best practices and patterns for AI usage within RAD
• Craft clear data stories and communicate recommendations across R&D and the company
• Contribute to core RAD foundations and improve team operations

Key requirements

• 5+ years of experience using data to solve problems and drive decisions
• Strong SQL skills and solid grounding in statistics
• Experience working closely with product teams
• Proven track record of delivering actionable insights with minimal supervision
• Strong product intuition and business acumen tying analysis to strategy
• Excellent communication skills (technical and non-technical) focused on driving decisions
• Strong ownership, curiosity and growth mindset
• Experience with a scientific computing language (e.g. Python)

• ownership
• curiosity
• growth mindset
• SQL
• statistics
• Python

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