Data Scientist

Aircall.io, Inc.; New York (NY); On-site; USD 140,000 - 180,000; Full time

Job summary

Aircall is a unicorn AI-powered customer communications platform with a global footprint and a North American HQ in Seattle. The Data Engineering team focuses on building reliable data pipelines, a semantic layer for AI-first analytics, and real-time dashboards to support churn prediction and feature adoption.

You will partner with GTM and product teams, owning end-to-end data products from ingestion to dashboards, while collaborating with data science and analytics to enable AI-driven decision

Qualifications

• 2+ years of hands-on experience in a high growth environment.
• Proficiency in SQL for deriving insights.
• Proficiency in Python.
• Hands-on Looker/LookML experience.
• Excellent interpersonal skills and the ability to explain complex data clearly to stakeholders at all levels.
• Insatiable curiosity and bias toward action.

Responsibilities

• Partner with GTM stakeholders to translate business questions into reliable, scalable data products.
• Provide actionable insights and compelling narratives to influence major decisions at the C-level.
• Build and own reporting in Looker, from LookML development to dashboard performance optimization, powering self-service analytics GTM teams rely on every day.
• Work closely with data engineers to continuously improve the data stack, governance practices, and analysis quality.

Skills

SQL

Python

Communication

Curiosity

Tools

Looker/LookML

Job 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

The Data Engineering team at Aircall works on providing high-quality, reliable, and actionable data. As an AI-first data team, we are currently in a pivotal transition to build a robust semantic layer that will power our AI‑first data platform, enabling analytics at speed and democratizing intelligent insights across the company. Some of the key problems we are currently solving include taking charge of data reliability, integrating new sources for raw data ingestion, and building sophisticated data models to power real‑time dashboards and predictive analytics.

In this role, you will be instrumental in building new datasets for high‑impact use cases such as churn prediction and feature adoption, while owning the end‑to‑end reliability and scalability of our data pipelines. You will work closely with Product and GTM business teams, sitting at the heart of a larger data organization alongside Data Science, Analytics, and Applied Scientists to bridge the gap between raw data and AI‑driven decision‑making.

Your missions @ Aircall

Partner with GTM stakeholders to translate business questions into reliable, scalable data products.

Provide actionable insights and compelling narratives to influence major decisions at the C‑level.

Build and own reporting in Looker, from LookML development to dashboard performance optimization, powering self‑service analytics GTM teams rely on every day.

Work closely with data engineers to continuously improve the data stack, governance practices, and analysis quality.

A little more about you

2+ years of hands‑on experience in a high growth environment

Proficiency in SQL for deriving insights

Proficiency in Python

Hands‑on Looker/LookML experience

Excellent interpersonal skills and the ability to explain complex data clearly to stakeholders at all levels

You have an insatiable curiosity and are biased toward action

Base salary range:

$140,000 - $180,000 USD

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

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.