Data Scientist, Product Analytics

Aircall.io•San Francisco, CA

1d•Hybrid

About The Position

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.

Requirements

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

Responsibilities

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