Level

Aircall

Senior Data Scientist

Aircall is hiring a Senior Data Scientist in San Francisco, United States. It pays $170k-$220k a year and Level rates it ; you can apply on Aircall.

Level's read on this job

  • Little AI ●○○○ is how Level rates this data scientist role: aI is not part of the work.
  • The listed pay starts close to the typical data scientist posting on Level.
  • Tools and skills the posting cites include data science, pricing strategy and analytics.
  • Level classifies it as a senior role.
  • Level lists 76 other open roles at Aircall.

AI in this role

Provide data-driven insights and analytics support for product and business growth initiatives across a customer communications platform.

data-sciencepricing-strategyanalyticsdata-governance
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 team Our Data team is the backbone of Aircall’s decision-making process, driving product development and business growth with cutting-edge data products, tools, and actionable insights   About the role As a Data Scientist, you will provide invaluable insights to our product and business teams, working closely with our product and engineering leaders. You'll support impactful initiatives including pricing, packaging, multi-product strategies and self-service approaches. You will collaborate cross-functionally with Engineering, Sales, Finance, Marketing, and Customer Relations to translate data needs into powerful solutions. You'll also establish best practices in analytics and mentor team members, ensuring high standards in data governance and insight generation.

How we rate this

Senior Data Scientist at Aircall rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data SciencePricing StrategyAnalyticsData Governance

Also common in data scientist jobs at this level

Pay

This job starts at
$170k
Typical data scientist job
$166k

This posting starts close to the typical data scientist job. See data scientist jobs

Questions you could be asked

  1. Tell me about a project where data science was part of your work. What did you do?
  2. Tell me about a project where pricing strategy was part of your work. What did you do?
  3. Tell me about a project where analytics was part of your work. What did you do?
  4. Tell me about a project where data governance was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Science, Pricing Strategy, Analytics, and Data Governance. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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