Senior Data Scientist

Senior Data ScientistAircall 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.About the roleAs a Senior Data Analyst, you will provide invaluable insights to our product and business teams, working closely with our product and engineering leaders. You'll support impactful initiatives including pricing, packaging, multi-product strategies and self-service approaches. You will collaborate cross-functionally with Engineering, Sales, Finance, Marketing, and Customer Relations to translate data needs into powerful solutions. You'll also establish best practices in analytics and mentor team members, ensuring high standards in data governance and insight generation.Your mission @ Aircall:Partner with product and business leaders to define the analytics roadmap and deliver key projects in customer acquisition, engagement, and retentionProvide actionable insights and compelling narratives to influence major decisions at the C-levelBuild a culture of experimentation by designing and executing rigorous A/B tests to measure business impactWork closely with data engineers to continuously improve the data stack, governance practices, and analysis qualityA little more about you:5+ years of hands-on technical experience in a high growth environmentProficiency in SQL for deriving insightsProficiency in PythonData-driven, structured and solution oriented with extensive experience in building rigorous experimentsExcellent interpersonal skills and the ability to explain complex data clearly to stakeholders at all levelsYou have an insatiable curiosity and are biased toward actionBase salary range:$170,000 - $212,000 USDWhy join us?Key moment to join Aircall in terms of growth and opportunitiesOur people matter, work-life balance is important at AircallFast-learning environment, entrepreneurial and strong team spirit45+ Nationalities: cosmopolite & multi-cultural mindsetCompetitive salary package & benefitsDE&I Statement: At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We're working to create a place filled with diverse people who can enrich and learn from one another. We're committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.