Data Scientist, Product Analytics
Required skills
- product roadmap
- product usage
- customer health
- product performance
- product adoption
- data stack
- analysis quality
- data needs
- powerful solutions
- self-serve analytics
Nice to have
- high growth environment
- explain complex data clearly
- compelling narratives
- influence major decisions
- data engineers
- healthy pipelines
Role summary
Aircall is seeking a Data Scientist specializing in Product Analytics to join their team in San Francisco. This role involves partnering with product and business leaders to define the analytics roadmap, deliver key projects on product adoption, feature usage, and experimentation. The Data Scientist will identify opportunities to inform the product roadmap, contribute to the company's experimentation culture, and provide actionable insights to influence major decisions. Collaboration with data engineers to improve the data stack and governance practices is crucial. The ideal candidate has 3-5 years of technical experience, proficiency in SQL and Python, strong visualization and experimentation skills, and familiarity with data pipeline tools.
Aircall is a unicorn AI-powered communications platform transforming how teams win with customers.For over a decade, we’ve believed voice builds the strongest business relationships. We bring voice, SMS, WhatsApp, and 250+ integrations together on one seamless workspace—so every customer conversation drives revenue, resolves issues faster, and builds trust. Our AI Voice Agents handle routine interactions while your team leads the conversations that matter most. Used by 24,000+ businesses worldwide.We’re 600+ people from 40+ nationalities across Paris, London, Madrid, Berlin, New York, San Francisco, Seattle, Sydney, and Mexico City. We’re ambitious, product-driven, and execution-focused—built for visible impact, fast decisions, and real growth.Come join us!
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 new feature launches, product adoption, pricing, and experimentation. You will collaborate cross-functionally primarily with Product, Software Engineering, and Data Engineering, as well as Marketing, Sales, Finance, and Account Managers to translate data needs into powerful solutions. You'll also establish best practices in self-serve analytics, contributing to our growing semantic layer, ensuring high standards in data governance and insight generation across the company.
Your mission @ Aircall:
A little more about you:
Why join us?
🚀 Key moment to join Aircall in terms of growth and opportunities
💆♀️ Our people matter, work-life balance is important at Aircall
📚 Fast-learning environment, entrepreneurial and strong team spirit
🌍 45+ Nationalities: cosmopolite & multi-cultural mindset
💶 Competitive salary package & benefits
DE&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.
Want to know more about candidate privacy? Find our Candidate Privacy Notice here.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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