Senior Data Scientist
Aircall · San Francisco Office
Skills in this posting
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.
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
The PivotHop read
- What a data scientist actually earnsmedian, seniority, by country
- Data Scientist career changes, measuredevery measured route out
- Machine Learning Engineer → Data Scientist70% readiness
- All open data scientist rolesthe full board
Where these skills also reach
- 600 open data analyst roles61% readiness from data scientist
- 98 open product analyst roles57% readiness from data scientist
- 600 open research scientist roles55% readiness from data scientist
- 323 open machine learning engineer roles54% readiness from data scientist
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