Principal Data Scientist at Aircall

Aircall, backed by over $220 million in investment since 2015, is a leading technology company dedicated to facilitating accessible, transparent, and collaborative communication. We empower over 18,000 customers to connect authentically and humanely.

Why Join Aircall?

• 🚀 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: cosmopolitan & multi-cultural mindset
• 💶 Competitive salary package & benefits

A Place Where Voices Matter

At Aircall, conversation is vital to our culture. No matter where you are - be it Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, or at home - your voice is valued. We invite individuals from diverse backgrounds to join us and contribute to the conversation. Let’s talk.

About the Team

The data team is fundamental to Aircall’s decision-making process. We deliver state-of-the-art data products, tools, and actionable insights that propel revenue, profitability, product development, and a delightful customer experience.

About the Role

Aircall is seeking a visionary Principal Data Scientist to spearhead initiatives that leverage applied data science to enhance our operations. This is a unique opportunity to play a crucial role in shaping our scientific foundation. Utilizing data and advanced ML/AI/Generative AI techniques, you will optimize operations across various domains, such as marketing, fraud prevention, and call quality. Leading impactful initiatives like Marketing Mix Modeling and churn prediction, you will manage the entire lifecycle from ideation to production and continuous improvement.

Expect the freedom and responsibility to define goals, build and grow a team, and make a significant impact at Aircall.

Locations

We are hiring in Paris, Bay Area (USA), or NYC HQ.

Your Mission at Aircall

• Lead groundbreaking projects that leverage AI and machine learning techniques to optimize operations and drive business success
• Take ownership of the entire lifecycle from model design, training, productionization, and incremental enhancement
• Foster a culture of experimentation by designing and scaling rigorous A/B tests to measure business impact
• Educate internal analytics teams on current and emerging research, technologies, and best practices for leveraging ML and LLM in product design and development
• Collaborate with AI Platform engineers to identify upcoming requirements and continuously evolve the AI platform offering
• Establish best practices in data science and mentor future team members to maintain high standards in data governance and insight generation
• Communicate effectively with stakeholders across various technical levels, articulating insights and recommendations about your solutions
• Cultivate trust with stakeholders by consistently addressing their true fundamental needs and challenges

A Little More About You

• 6+ years of experience in data science, machine learning, or statistical modeling
• Experience implementing theoretical models in an applied environment
• M.S. or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or another quantitative field
• Strong interest in delivering data-driven solutions using ML and AI
• Proficiency in data querying languages (e.g., SQL) and scripting languages (e.g., Python) or statistical/mathematical software
• Solid understanding of statistics, machine learning, operations research, and causal inference. Knowledge of NLP or Bayesian testing is a plus
• Insatiable curiosity and a bias toward action

Key Traits We Look For

We seek individuals who are coachable, resilient, solution-oriented, and find joy in a good challenge! We invest in our people, and in return, we expect you to invest in us. Own your growth and success, and we’ll provide the platform for learning, building your career, and growing together.

Our Commitment to DE&I

At Aircall, diversity, equity, and inclusion are integral to our journey. We promote active inclusion