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