Senior Data Scientist

Aircall.io, Inc.San Francisco, CA
$170,000 - $212,000

About The Position

Aircall is seeking a Senior Data Scientist to provide invaluable insights to their product and business teams, working closely with product and engineering leaders. This role will support impactful initiatives including pricing, packaging, multi-product strategies, and self-service approaches. The Senior Data Scientist will collaborate cross-functionally with Engineering, Sales, Finance, Marketing, and Customer Relations to translate data needs into powerful solutions. Additionally, they will establish best practices in analytics and mentor team members, ensuring high standards in data governance and insight generation. The mission includes partnering with product and business leaders to define the analytics roadmap and deliver key projects in customer acquisition, engagement, and retention, providing actionable insights and compelling narratives to influence major decisions at the C-level. The role also involves building a culture of experimentation by designing and executing rigorous A/B tests to measure business impact, and working closely with data engineers to continuously improve the data stack, governance practices, and analysis quality.

Requirements

  • 5+ years of hands-on technical experience in a high growth environment
  • Proficiency in SQL for deriving insights
  • Proficiency in Python
  • Data-driven, structured and solution oriented with extensive experience in building rigorous experiments
  • Excellent interpersonal skills and the ability to explain complex data clearly to stakeholders at all levels
  • Insatiable curiosity and bias toward action

Responsibilities

  • Partner with product and business leaders to define the analytics roadmap and deliver key projects in customer acquisition, engagement, and retention
  • Provide actionable insights and compelling narratives to influence major decisions at the C-level
  • Build a culture of experimentation by designing and executing rigorous A/B tests to measure business impact
  • Work closely with data engineers to continuously improve the data stack, governance practices, and analysis quality

Benefits

  • Competitive salary package & benefits
  • Fast-learning environment, entrepreneurial and strong team spirit
  • 45+ Nationalities: cosmopolite & multi-cultural mindset
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