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Job Post Details
This job has expired on Indeed
Senior Growth Data Scientist
Senior Growth Data Scientist
Job details
Full job description
Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.
Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.
Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.
Senior Data Scientist - Growth
What's the opportunity?
The Research, Analytics & Data Science (RAD) team at Intercom is a group of data scientists and researchers who partner with our product teams to measure and understand the impact of what we ship and to identify and size opportunities to make our product better. If you get really excited about asking the right questions, exploring patterns in data and fighting for decisions based on data and research, then this team is for you.
For this role, we are looking for a Senior Data Scientist to work in our Growth team, partnering with the product, design and engineering leads for our websites, intercom.com and fin.ai, to figure out where we can improve visitor journeys and increase lead volume.
What will I be doing?
- You’ll work with growth leads from product, design and engineering to identify opportunities to improve lead generation on our website
- You’ll size and prioritize these opportunities, then measure the impact of these changes through analysis and experimentation
- You’ll look for ways to leverage AI to improve and automate data science work
What skills do I need?
- Experience leveraging AI tools (e.g. Cursor, Claude Code) for data science work
- Experience working in a growth analytics or product analytics team
- Excellent communication skills (technical and non-technical) and a focus on driving impact
- Strong SQL skills
Bonus skills & attributes
- Experience working on a B2B SaaS product
- Experience partnering with Qualitative Research teams
- Experience running AB tests to optimise website performance
Policies
Intercom has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.
We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.
Intercom values diversity and is committed to a policy of Equal Employment Opportunity. Intercom will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.