Data Scientist, Product Analytics

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:

• Partner with product and business leaders to define the analytics roadmap and deliver key projects in product adoption, feature usage, cohort analysis, agent evaluations, and more
• Identify key opportunities based off of product usage to inform the product roadmap and customer health 
• Contribute to and lead Aircall’s experimentation culture by ideating, creating, and evaluating experiments, both to improve product performance and adoption
• Provide actionable insights and compelling narratives to influence major decisions 
• Work closely with data engineers to continuously improve the data stack, governance practices, and analysis quality

A little more about you:

• 3-5 years of hands-on technical experience in a high growth environment
• Proficiency in SQL for deriving insights
• Proficiency in Python
• Excellent interpersonal skills and the ability to explain complex data clearly to stakeholders at all levels
• Strong visualization skills to build stories and insights from raw data in a clear and concise manner (we use Hex and Looker)
• Experience in building rigorous experiments (hypothesis testing, power/significance testing)
• Familiarity with data pipeline/orchestration tools (e.g., dbt, Airflow) 
• Experience collaborating with data engineering to build and maintain healthy pipelines, with experience with lakehouse table formats (e.g., Apache Iceberg) and distributed data processing (e.g., PySpark) as a plus
• You have an insatiable curiosity and are biased toward action
• Excited to work from our new office in SOMA in San Francisco, 2 days per week

Base salary range:

$140,000—$180,000 USD

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.