Senior Data Scientist - Product Analytics

Intercom Intercom · Enterprise · London, United Kingdom · Research, Analytics & Data Science

Senior Data Scientist role focused on product analytics at an AI Customer Service company. The role involves using data to drive decision-making, partnering with product teams, developing metrics, building data pipelines, and influencing product strategy. While the company heavily features AI, this role is primarily focused on product analytics and using data to understand customer behavior and product performance, rather than directly building or researching AI models.

What you'd actually do

  1. You’ll partner with product teams to help them identify important questions and answer those questions with data
  2. 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
  3. 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.
  4. You’ll partner closely with product researchers to build a holistic understanding of our customers, our products and our business.
  5. You’ll influence our product roadmap and product strategy through experimentation, exploratory analysis and quantitative research

Skills

Required

  • 5 + years experience working with data to solve problems and drive evidence-based decisions
  • Excellent SQL skills and experience of applying analytical and statistical approaches to problem solving
  • 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
  • Experience with a scientific computing language (such as R or Python)

Nice to have

  • Experience with BI/Visualization tools like Tableau, Superset and Looker
  • Experience with data modeling and ETL pipelines
  • Experience working with product teams
  • Experience leveraging AI tools to boost efficiency and creativity across the data science workflow — from ideation and coding to analysis and communication

What the JD emphasized

  • Proven track record of initiating and delivering actionable analysis and insights that drives tangible impact with minimal supervision