Staff Data Scientist

The Research, Analytics & Data Science (RAD) team at Intercom use 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 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.

Staff Data Scientists in RAD lead partnerships with R&D groups to help Intercom make sense of our customers 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.

• You’ll be the lead data scientist for an Intercom product area. You’ll partner closely with a product researcher to build a holistic understanding of this area. You’ll build relationships and collaborate with leaders from product, design and engineering to shape the strategy for your product area. You’ll measure outcomes and develop success metrics to understand the impact of product changes on customer behaviour, through analysis and experimentation. You’ll also collaborate with finance, marketing and sales to understand how your product area impacts Intercom’s commercial performance.

• You’ll build and automate actionable models and dashboards

• You’ll craft data stories, share your findings and advocate for your recommendations across R&D

• 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 drive projects to improve the tools and infrastructure that data scientists   use to do their work.

• You’ll be a role model for more junior data scientists on the team

• 5+ years experience working with data to solve problems and drive evidence-based decisions

• Demonstrated ability to influence and guide product strategy with data

• Excellent communication skills (technical and non-technical) and a focus on driving impact

• Desire to mentor other data scientists and share best practices to elevate the use of data science at Intercom

• Strong growth mindset and sense of ownership. Innate passion and curiosity

• Excellent SQL skills

• Experience with a scientific computing language (R or Python)

• Experience with BI/Visualization tools like Tableau, Superset or Looker

• Experience working on a B2B SaaS product

• Experience with data modeling and ETL pipelines

• Experience partnering with Product Research teams

We 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