Data Scientist, Visualization
Aircall.io, Inc. · New York Office ·
- Category
- Data science
- Experience
- 2+ years
- Salary
- USD 140,000 – 180,000 / year
Aircall.io, Inc. · New York Office ·
aircall · New York Office
aircall · Madrid Office
aircall · San Francisco Office
aircall · Madrid Office
A Data Scientist specializing in visualization who builds and maintains Looker/LookML dashboards and stakeholder-facing data products for Aircall's go-to-market teams, handling query optimization, caching, and metric governance. Core stack: SQL, Python, Looker/LookML, Hex, dbt/Airflow.
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
As a Data Scientist specializing in visualization engineering, you will own the layer where data meets decisions. Aircall's go-to-market teams (Sales, Marketing, Customer Success, Customer Support, and RevOps) rely on dashboards and data products every day. You'll design, build, and maintain that layer, from the semantic models underneath to the interfaces people actually use.
This is a specialist role on our Data Science team. You'll sit alongside data scientists working on forecasting, attribution, and modeling, and you'll be the person who makes analytical work land with the business. You'll partner cross-functionally with GTM teams and Data Engineering to raise the quality, reliability, and performance of our reporting ecosystem.
Your mission @ Aircall:
A little more about you:
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 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.
Want to know more about candidate privacy? Find our Candidate Privacy Notice here.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
aircall · Paris Office