Data Scientist
New York Office
- Pay
USD 140,000–180,000/year — pay source
Salary 140,000 – 180,000 USD per year Why join us?
Read the full posting- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting- Employment
Full-time · Permanent — employment source
Employment type Permanent Full Time Employee
Employment type in the employer’s posting: Permanent Full Time Employee
From the employer’s posting
What you’ll work on
Full postingThe Data Engineering team at Aircall works on providing high-quality, reliable, and actionable data.
In this role, you will be instrumental in building new datasets for high-impact use cases such as churn prediction and feature adoption, while owning the end-to-end reliability and scalability of our data pipelines.
Turn GTM business questions into reliable, scalable data products
Provide actionable insights to influence major C-level decisions
Build and own Looker reporting, including LookML and dashboard performance
Work with data engineers to improve the data stack and governance
From the employer’s posting
The Data Engineering team at Aircall works on providing high-quality, reliable, and actionable data. As an AI-first data team, we are currently in a pivotal transition to build a robust semantic layer that will power our AI-first data platform, enabling analytics at speed and democratizing intelligent insights across the company. Some of the key problems we are currently solving include taking charge of data reliability, integrating new sources for raw data ingestion, and building sophisticated data models to power real-time dashboards and predictive analytics.
In this role, you will be instrumental in building new datasets for high-impact use cases such as churn prediction and feature adoption, while owning the end-to-end reliability and scalability of our data pipelines. You will work closely with Product and GTM business teams, sitting at the heart of a larger data organization alongside Data Science, Analytics, and Applied Scientists to bridge the gap between raw data and AI-driven decision-making.
Partner with GTM stakeholders to translate business questions into reliable, scalable data products.
Provide actionable insights and compelling narratives to influence major decisions at the C-level.
Build and own reporting in Looker, from LookML development to dashboard performance optimization
Work closely with data engineers to continuously improve the data stack, governance practices, and analysis quality.
What you’ll bring
All qualificationsCore experience
- 2+ years of hands-on experience in a high growth environment
- Proficiency in SQL for deriving insights
- Proficiency in Python
- Hands-on Looker/LookML experience
- Ability to explain complex data clearly to stakeholders at all levels
Qualification wording
2+ years of hands-on experience in a high growth environment
Proficiency in SQL for deriving insights
Proficiency in Python
Hands-on Looker/LookML experience
Excellent interpersonal skills and the ability to explain complex data clearly to stakeholders at all levels
Tools in this posting
- Python
- SQL
- Looker
Source — Tool mentions in context
- Proficiency in SQL for deriving insights - Proficiency in Python - Hands-on Looker/LookML experience
- 2+ years of hands-on experience in a high growth environment - Proficiency in SQL for deriving insights - Proficiency in Python
- Provide actionable insights and compelling narratives to influence major decisions at the C-level. - Build and own reporting in Looker, from LookML development to dashboard performance optimization, powering self-service analytics GTM teams rely on every day. - Work closely with data engineers to continuously improve the data stack, governance practices, and analysis quality.
- Proficiency in Python - Hands-on Looker/LookML experience - Excellent interpersonal skills and the ability to explain complex data clearly to stakeholders at all levels
Posting record
Report an errorOpen 3 monthsWe first saw this posting 110 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 11, 2026 · 110 days ago
- Recorded sightings
- 26
- Last seen by us
- Oct 29, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
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Job description
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 role
The Data Engineering team at Aircall works on providing high-quality, reliable, and actionable data. As an AI-first data team, we are currently in a pivotal transition to build a robust semantic layer that will power our AI-first data platform, enabling analytics at speed and democratizing intelligent insights across the company. Some of the key problems we are currently solving include taking charge of data reliability, integrating new sources for raw data ingestion, and building sophisticated data models to power real-time dashboards and predictive analytics.
In this role, you will be instrumental in building new datasets for high-impact use cases such as churn prediction and feature adoption, while owning the end-to-end reliability and scalability of our data pipelines. You will work closely with Product and GTM business teams, sitting at the heart of a larger data organization alongside Data Science, Analytics, and Applied Scientists to bridge the gap between raw data and AI-driven decision-making.
Your missions @ Aircall:
- Partner with GTM stakeholders to translate business questions into reliable, scalable data products.
- Provide actionable insights and compelling narratives to influence major decisions at the C-level.
- Build and own reporting in Looker, from LookML development to dashboard performance optimization, powering self-service analytics GTM teams rely on every day.
- Work closely with data engineers to continuously improve the data stack, governance practices, and analysis quality.
A little more about you:
- 2+ years of hands-on experience in a high growth environment
- Proficiency in SQL for deriving insights
- Proficiency in Python
- Hands-on Looker/LookML experience
- Excellent interpersonal skills and the ability to explain complex data clearly to stakeholders at all levels
- You have an insatiable curiosity and are biased toward action
This is not including equity and other benefits. The actual salary offered will carefully consider a wide range of factors, including your skills, qualifications, and experience.
Salary
140,000 – 180,000 USD per year
Why join us?
🚀 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: cosmopolite & multi-cultural mindset
💵 Competitive salary package & benefits
🏨 Medical, dental, and vision insurance is 100% covered
📈 401k plan with company matching!
✈️ Unlimited PTO — take the time you need to come to work feeling great!
⭐️ Wellness, commuter, and childcare reimbursements
💚 Generous parental leave policy
DE&I Statement:
At Aircall, we believe diversity, equity and inclusion – irrespective of origins, identity, background and orientations – are core to our journey.
We pride ourselves on promoting active inclusion within our business to foster a strong sense of belonging for all. We’re working to create a place filled with diverse people who can enrich and learn from one another. We’re committed to ensuring that everyone not only has a seat at the table but is valued and respected at it by providing equal opportunities to develop and thrive.
We will constantly challenge ourselves to make sure that we live up to our ambitions around diversity, equity and inclusion, and keep this conversation open. Above all else, we understand and acknowledge that we have work to do and much to learn.
Want to know more about candidate privacy? Find our Candidate Privacy Notice here.
Employment type
Permanent Full Time Employee
Source details
Source notes
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- Pay
Salary 140,000 – 180,000 USD per year Why join us?
- Location & working pattern
New York Office
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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