Data Science Manager - Aircall

Job Title: Data Science Manager
Job Location: San Francisco
Job Listing URL: https://jobs.lever.co/aircall/42251d8c-3827-4801-abaa-fb958445c0b9
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 20,000+ 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. As a Data Science Manager at Aircall, you will be responsible for defining and implementing a comprehensive data strategy that aligns with the company’s strategic goals. You will lead initiatives that harness the power of AI, machine learning, and advanced analytics to enhance business operations and drive success. You will oversee the full lifecycle of data science projects, from model conception and training to deployment and continuous improvement.
What you’ll do:
Develop and execute a data strategy that supports Aircall’s business objectives.
Lead innovative projects using AI, machine learning, and data engineering to optimize operational efficiency and drive business growth.
Manage the end-to-end lifecycle of data models, including design, development, deployment, and refinement.
Promote a culture of experimentation by designing and implementing A/B tests to measure the impact of data-driven decisions.
Educate and upskill teams on the latest advancements in AI, ML, and analytics, fostering their application in product development and business processes.
Collaborate with data engineering and AI platform teams to anticipate future requirements and enhance the data infrastructure.
Establish and uphold best practices in data science, analytics, and data engineering, ensuring high standards in data governance and insight generation.
Communicate complex data concepts and insights clearly to stakeholders of varying technical expertise.
Build and maintain strong relationships with stakeholders by addressing their core needs and providing data-driven solutions.
What you'll bring:
8+ years of experience in data science, machine learning, or statistical modeling, with a minimum of 3 years in a leadership position.
Proven experience in applying theoretical models to solve real-world problems.M .S. or PhD in Statistics, Computer Science, Mathematics, Operations Research, Physics, or Economics.
Passion for developing data-driven solutions using machine learning and AI.Proficiency in SQL, Python, or other programming languages, as well as statistical/mathematical software.
Strong foundation in statistics, machine learning, operations research, and causal inference. Experience in NLP or Bayesian testing is an advantage.
A natural curiosity and a proactive approach to problem-solving.Demonstrated success in building and leading high-performing data science teams