AI-Driven Data Scientist: Real-Time Analytics & Looker

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

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