Data Scientist, Product Analytics
Voice AI Space
$140,000 - $180,000 / year
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Description
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 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
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.
Benefits
- stock options
About this role
Aircall, an AI-powered communications platform serving over 22,000 companies globally, is looking for a Data Scientist to join its San Francisco office and drive analytics for product and business teams. In this role, you'll partner closely with product, engineering, and cross-functional leaders to shape the analytics roadmap, support feature launches and adoption initiatives, and build the experimentation culture that informs product decisions. You'll work with tools like Hex and Looker to translate data into compelling narratives that influence strategy, while also collaborating with data engineers to strengthen the underlying data stack and governance practices.
The position requires 3–5 years of hands-on technical experience in a fast-growth environment, with solid proficiency in SQL and Python. You should be comfortable designing and evaluating rigorous experiments, building clear visualizations, and explaining complex findings to stakeholders across the organization. Experience with data orchestration tools like dbt or Airflow, and familiarity with modern data infrastructure such as Apache Iceberg or PySpark, will strengthen your candidacy. The role demands both analytical rigor and the ability to move quickly—you'll need curiosity, ownership, and a bias toward action to thrive in a company scaling rapidly on AI innovation.
This is a full-time, in-office position in San Francisco's SOMA neighborhood (two days per week on-site) with a base salary of $140,000–$180,000. Aircall emphasizes work-life balance, learning, and a multicultural team environment across 45+ nationalities.
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Pay for this role
$140,000 to $180,000 per year
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