What is the salary for this Data Scientist role?

Salary information is not publicly listed for this position. Apply directly to discuss compensation with Aircall.

Where is this Data Scientist position located?

This is an on-site position at Aircall located in Paris Office.

How do I apply for this Data Scientist job at Aircall?

Click the 'Apply' button on this page to be redirected to Aircall's application portal. Make sure to have your resume ready and tailor your application to highlight relevant experience.

Aircall is actively hiring for Data roles. Visit the company page to see all open positions and learn more about working at Aircall.

Data Scientist

Aircall Paris Office Today

data

Aircall is a unicorn AI-powered customer communications platform used by 22,000+ companies worldwide to drive revenue, faster resolutions, and scale. We’re redefining what a customer communications platform can be—by combining voice, SMS, WhatsApp, and AI into one seamless workspace.

Our momentum comes from a simple but powerful idea: help every customer-facing team work smarter, not harder. Aircall’s AI Voice Agent automates routine calls, AI Assist streamlines post-call tasks, and AI Assist Pro delivers real-time guidance that helps people do their best work. The result—companies grow revenue, deliver faster resolutions, and scale service.

We’ve built a product customers love and a business that scales fast. Aircall operates in nine global offices (Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, Seattle, and Mexico City), and is backed by world-class investors. Our teams are shipping AI innovation faster than ever and expanding across new product lines and markets.

At Aircall, you’ll join a company in motion—ambitious, profitable, and product-driven—where impact is visible, decisions are fast, and growth is real.

How We Work at Aircall: At Aircall, we believe in customer obsession, continuous learning, and delivering extraordinary outcomes. We value open collaboration, taking ownership, and making smart, informed decisions with speed and precision. If you thrive in a fast-paced, team-driven environment where curiosity, trust, and impact matter, you'll fit right in

About the Team:

Our Data team is the backbone of Aircall's decision-making process, driving product development and business growth with cutting-edge data & AI products, tools, and actionable insights. You'll join a collaborative team of data professionals, product managers, and GTM leaders. We value rigorous analysis, clear communication, and a bias toward shipping work that drives real business outcomes.

Specifically, the Data Science team is divided into two subteams: GTM Analytics and Product Analytics. You would work on one of those teams based on your past experience and/or current interests, which would inform who your primary stakeholders are: GTM Analytics works closely with leaders across sales, account management, support, marketing, while Product Analytics partners closely with product managers, engineers, and designers.

About the Role:

As a Data Scientist or Senior Data Scientist, you will provide invaluable insights to our product and/or business teams. You'll support impactful initiatives including pricing, packaging, multi-product strategies, and self-service approaches. You will collaborate cross-functionally with teams such as Product, Engineering, Sales, Finance, Marketing, and Account Management to translate data needs into powerful solutions. You'll establish best practices in analytics and ensure high standards in data governance and insight generation. At the Senior level, you'll also mentor team members and help shape our analytics roadmap.

Your mission @ Aircall:

Partner with product and business leaders to define the analytics roadmap and deliver key projects in customer acquisition, engagement, and retention.

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

Build a culture of experimentation by designing and executing rigorous A/B tests to measure business impact.

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

A little about you:

3+ years of hands-on technical experience in a high-growth environment (leveling based on experience and scope).

Proficiency in SQL for deriving insights and in Python for data analysis and automation.

Strong data visualization skills using tools such as Looker and Hex to communicate insights effectively.

Proficiency in data modeling and pipeline orchestration tools (e.g., dbt, Airflow).

Experience designing and executing rigorous experiments (A/B testing, statistical analysis).

Data-driven, structured, and solution-oriented in your approach to problems.

Excellent communicator who can explain complex data clearly to stakeholders at all levels.

You dig deeper when something doesn't add up and ship analyses that drive real decisions.

Preferred skills:

Ability to leverage AI (Cursor, Claude Code) and LLMs to accelerate workflows and enhance productivity — we use AI on a daily basis.

Experience with predictive modeling, machine learning, or statistical forecasting.

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 are strongly committed to hiring a diverse and multicultural team and we encourage applications from traditionally underrepresented backgrounds.