Data Scientist at Aircall
New York Office
$140,000–$180,000
Jul 9, 2026
New York Office
Jul 21, 2026
What this job asks for AI summary
This role sits within a data team focused on building and maintaining data pipelines, models, and reporting infrastructure. Day-to-day work involves developing LookML and dashboards in Looker, partnering with go-to-market and product teams to turn business questions into data products, and contributing to datasets that support use cases such as churn prediction and feature adoption. It suits someone with hands-on SQL, Python, and Looker experience who is comfortable communicating data findings to non-technical stakeholders.
Mid level · 2+ years · National · Full-time
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $90,896 (middle half $69,863–$128,761).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (5)
The role is listed on Aircall's careers page without a specific city or country designation. Aircall's offices span Paris, Seattle, Madrid, London, Berlin, San Francisco, New York City, Sydney, and Mexico City. The posting references US-specific benefits (401k, USD compensation language), suggesting a US location is plausible, but the primary HQ is Paris and no explicit US location is stated — the US-based flag is set to false and location fields are left blank pending clarification.
The role blends analytics (SQL insights, Looker dashboards, stakeholder storytelling) with some data engineering collaboration (data stack, pipelines, data models). It is classified as 15-2031 (Operations Research Analysts / BI/reporting analyst) because the primary day-to-day work described is deriving insights, building Looker dashboards, and translating business questions into data products — not building ETL pipelines or data architecture. 15-1243 (Database Architects) is noted as a runner-up given the data engineering team context and pipeline ownership language.
The job title is not stated in the posting; the role is described generically within the Data Engineering team context. Advertised seniority is set to Unspecified accordingly.
The '2+ years' requirement is stated at the role level ('2+ years of hands-on experience in a high growth environment'), not tied to any specific technology, so it is captured as the minimum total experience rather than a per-skill years demanded.
This role's work location reads as outside the US — the candidate pool, comp, and contention benchmarks here are US-only (BLS employment, Adzuna/USAJOBS demand, and certified H-1B wages), so treat them as a rough US reference, not a local market.
Read the full posting
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