Data Scientist
Aircall · New York Office
The posting
Aircall is a unicorn, AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, resolve issues faster, and scale customer-facing teams. We’re redefining customer communications by bringing voice, SMS, WhatsApp, and AI together into one seamless workspace.
Our momentum comes from a simple idea: help teams work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call work, and AI Assist Pro delivers real-time guidance so people can do their best work. The result is higher revenue, faster resolutions, and teams that scale with confidence.
Aircall is headquartered in Paris, our European HQ, with a strong North American presence anchored in Seattle, our North American HQ, and teams across Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. We’ve built a product customers love and a business that’s scaling quickly, backed by world-class investors and driven by rapid AI innovation across multiple product lines.
At Aircall, you’ll join a company in motion. We’re ambitious, product-driven, and execution-focused, with visible impact, fast decisions, and real growth.
How we work at Aircall: We’re customer-obsessed, data-driven, and focused on delivering meaningful outcomes. We value ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative, fast-moving environment where trust and impact matter, you’ll feel at home here.
Your missions @ Aircall
Partner with GTM stakeholders to translate business questions into reliable, scalable data products.
Provide actionable insights and compelling narratives to influence major decisions at the C-level.
Build and own reporting in Looker, from LookML development to dashboard performance optimization, powering self-service analytics GTM teams rely on every day.
Work closely with data engineers to continuously improve the data stack, governance practices, and analysis quality.
A little more about you
2+ years of hands-on experience in a high growth environment
Proficiency in SQL for deriving insights
Proficiency in Python
Hands-on Looker/LookML experience
Excellent interpersonal skills and the ability to explain complex data clearly to stakeholders at all levels
You have an insatiable curiosity and are biased toward action
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