What's the opportunity?The Research, Analytics & Data Science (RAD) team at Intercom uses data and insights to drive evidence-based decision-making. We're a team of data scientists and product researchers who use data — both big and small — to unlock actionable insights about our customers, our products, and our business. We generate insights that build customer empathy, drive product strategy, and shape products that deliver real value to our customers. If you get really excited about asking the right questions, exploring patterns in data, and surfacing actionable insights that drive strategic decisions, then this role is for you.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. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily.What will I be doing?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, set targets, measure results and outcomes, and 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.What skills do I need?5+ 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 drive 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.Bonus skills & attributesExperience with machine learning and predictive modeling.Familiarity with data visualization tools (e.g., Tableau, Looker).Experience in a fast-paced startup environment.Ability to work collaboratively in a team-oriented environment.BenefitsWe are a well-treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us!Competitive salary and equity in a fast-growing start-up.We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen.Regular compensation reviews - we reward great work.Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents.Open vacation policy and flexible holidays so you can take time off when you need it.Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones.MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done.#LI-Hybrid
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