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Aircall

Cloud-based business phone system with integrations

Data Scientist - Product Analytics

Data ScienceConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA$140k - $180k

About the Job

Requirements

  • Three to five years of hands-on technical experience in a high-growth environment.
  • Proficiency in SQL for deriving insights.
  • Proficiency in Python.
  • Ability to explain complex data clearly to stakeholders at all levels.
  • Strong data visualization skills to build clear and concise stories and insights from raw data; the company uses Hex and Looker.
  • Experience building rigorous experiments, including hypothesis testing and power/significance testing.
  • Familiarity with data pipeline and orchestration tools such as dbt and Airflow.
  • Experience collaborating with data engineering to build and maintain healthy pipelines.

Responsibilities

  • Partner with product and business leaders to define the analytics roadmap and deliver projects in product adoption, feature usage, cohort analysis, and agent evaluations.
  • Identify opportunities from product usage to inform the product roadmap and customer health.
  • Contribute to and lead the experimentation culture by ideating, creating, and evaluating experiments to improve product performance and adoption.
  • Provide actionable insights and compelling narratives to influence major decisions.
  • Work with data engineers to improve the data stack, governance practices, and analysis quality.
  • Establish self-serve analytics best practices and contribute to the semantic layer, data governance, and insight-generation standards across the company.

Desired Qualifications

  • Experience with lakehouse table formats such as Apache Iceberg and distributed data processing such as PySpark.

About the Company

Aircall

Cloud-based business phone system with integrations

Aircall offers a cloud-based phone system for businesses, sold on a subscription basis. It handles voice communications in the cloud and includes features like call routing and call monitoring, plus data syncing with tools such as CRM systems and helpdesks. It stands out by combining core telephony with deep native integrations and an app marketplace for third-party add-ons, helping teams connect phone activity with existing workflows. The goal is to provide a scalable, integrated communications solution that improves how organizations manage voice calls and related data across departments from SMBs to enterprises.

Company size
501-1,000
Company stage
Series D
Total funding
$225.6M
Headquarters
New York City, New York
Founded
2014

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