Data Scientist

Aircall; New York (NY); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Health insurance

401k matching

Unlimited PTO

Wellness reimbursements

Commuter benefits

Childcare support

Parental leave

Job summary

Aircall’s Data Engineering team is building a robust semantic layer to power AI-first analytics, focusing on data reliability and scalable pipelines. You will help create datasets for high-impact use cases like churn prediction and feature adoption, enabling real-time dashboards and predictive insights across GTM and product teams.

In this role, you will partner with Product and GTM, own end-to-end data pipelines, and collaborate with Data Science and Analytics to turn raw data into actionable

Qualifications

• 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.
• Insatiable curiosity and a bias toward action.

Responsibilities

• 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.

Skills

SQL

Python

Interpersonal skills

Curiosity

Bias toward action

Tools

Looker/LookML

Job description

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.

Responsibilities

• 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.

Qualifications

• 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.
• Insatiable curiosity and a bias toward action.

Compensation

$140,000 - $180,000 a year

Benefits

• Competitive salary package & benefits.
• Medical, dental, and vision insurance are 100% covered.
• 401k plan with company matching.
• Unlimited PTO.
• 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.