Head of Data Science - Aircall

Job Title: Head of Data Science
Job Location: San Francisco
Job Listing URL: https://jobs.lever.co/aircall/0cb0db7d-7259-417a-a23c-c191d8c3bcdd
Job Description: Aircall is a place where voices are valued.

Backed by over $220 million of investment since 2015, we create technology that fuels accessible, transparent and collaborative communication to empower our base of 18,000+ customers (and growing) to make authentic, human connections.

Conversation is a cornerstone of our culture. Wherever our people find themselves in the Aircall world – Paris, New York, San Francisco, Sydney, Madrid, London, Berlin, or at home – everyone has a voice that is valued.

Whatever your background, wherever you’re from – we want you to join the conversation. Let’s talk.

About the Team:

The data team is the backbone of Aircall’s decision-making approach. We deliver cutting-edge data products, tools, and actionable insights that drive revenue, profitability, product development, and a delightful customer experience.

Aircall is seeking an innovative and strategic Head of Data Science to lead our data team and drive impactful initiatives across data science, analytics, and data engineering. In this pivotal role, you will shape our vision and strategy for leveraging data to optimize operations and drive business success. You will oversee the entire lifecycle of data projects from ideation to production and continuous improvement, and play a critical role in building and growing a world-class data team.

This role can be based in our San Francisco office, New York office, or Paris HQ.
What you'll do:
Define and execute Aircall’s data strategy, aligning it with organizational goals.
Lead groundbreaking projects that leverage AI, machine learning, analytics, and data engineering 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 teams on current and emerging research, technologies, and best practices for leveraging ML, AI, and advanced analytics in product design and development.
Collaborate with data engineering and AI Platform teams to identify upcoming requirements and continuously evolve our data platform offering.
Establish best practices in data science, analytics, and data engineering, 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.
What you'll bring:
10+ years of data science, machine learning, or statistical modeling experience, with at least 3 years in a leadership role.
Experience implementing theoretical models in an applied environment.
M.S. or PhD. in Statistics, Computer Science, Math, Operations Research, Physics, Economics, or other quantitative field.
Strong interest in delivering data-driven solutions using ML and AI.
Proficiency in data querying languages (e.g., SQL), 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 bias toward action.
Proven track record of building and leading high-performing data science teams.