Join Aircall, a rapidly growing unicorn in the customer communications sector, where we empower over 22,000 businesses globally with our innovative AI-driven platform. We are transforming customer interactions by integrating voice, SMS, WhatsApp, and AI into one cohesive workspace, allowing teams to enhance revenue, resolve issues swiftly, and expand effectively.
Our success stems from a clear vision: to enable teams to work smarter, not harder. Our AI Voice Agent automates routine calls, AI Assist simplifies post-call tasks, and AI Assist Pro offers real-time guidance, enabling teams to perform at their best. This leads to increased revenue, quicker resolutions, and the ability to scale with confidence.
With headquarters in Paris serving as our European hub and a strong presence in North America from our Seattle location, Aircall boasts teams across various cities including Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. Backed by world-class investors, we are experiencing rapid growth fueled by continuous AI innovation across multiple product lines.
At Aircall, you'll be part of a dynamic company that values ambition, product focus, and impactful execution, with a commitment to fast decision-making and substantial growth.
Our Work Culture: We are dedicated to our customers, driven by data, and focused on achieving meaningful results. We emphasize ownership, continuous learning, and thoughtful speed. If you thrive in a collaborative and fast-paced environment where trust and impact are paramount, you will fit right in.
About Our Team:
Our Data team serves as the foundation of Aircall's decision-making process, propelling product development and business growth through cutting-edge data and AI products, tools, and actionable insights. You will collaborate with a diverse group of data professionals, product managers, and GTM leaders. We prioritize rigorous analysis, clear communication, and an eagerness to deliver work that drives tangible business outcomes.
The Data Science team is divided into two specialized subteams: GTM Analytics and Product Analytics. Your placement will align with your previous experience or current interests, determining your key stakeholders. GTM Analytics engages closely with leaders in sales, account management, support, and marketing, while Product Analytics collaborates with product managers, engineers, and designers.
The Role:
As a Data Scientist or Senior Data Scientist, you will provide critical insights to our product and business teams, supporting initiatives such as pricing, packaging, multi-product strategies, and self-service approaches.