Senior Data Scientist

Aircall · San Francisco Office

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.

About the team
Our Data team is the backbone of Aircall’s decision-making process, driving product development and business growth with cutting-edge data products, tools, and actionable insights
 
About the role
As a Data Scientist, 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 retention
  • Provide actionable insights and compelling narratives to influence major decisions at the C-level
  • Build a culture of experimentation by designing and executing rigorous A/B tests to measure business impact 
  • Work closely with data engineers to continuously improve the data stack, governance practices, and analysis quality
  • A little more about you:

  • 5+ years of hands-on technical experience in a high growth environment
  • Proficiency in SQL for deriving insights
  • Proficiency in Python
  • Data-driven, structured and solution oriented with extensive experience in building rigorous experiments
  • 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
  • Data & ML pay context

    Based on 1,541 disclosed Data & ML salaries on RoleSuite, the role pays a median of $162K/year, with most offers between $127K and $201K (10th–90th percentile: $106K–$244K).

    This posting lists $170K–$220K, above the $162K market median.

    See the full Data & ML salary breakdown →
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