Data Scientist at Lightning AI
New York, NY
$160,000–$245,000
Aug 11, 2026
New York, NY
Sep 24, 2026
What this job asks for AI summary
This role sits on the Product team at an AI-infrastructure neocloud, partnering with Product, Sales, and Engineering to turn usage and operational data into actionable insights. Day-to-day work spans SQL and Python analysis, building and maintaining data pipelines, designing Looker/Data Studio dashboards, and shaping customer profiles and sales priorities. It suits an experienced analyst or data scientist comfortable operating independently in a fast-moving startup environment.
Senior level · 5+ years · New York-Newark-Jersey City, NY-NJ-PA · Full-time
“or” means any one of them counts — you don't need all of them.
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
Roughly 520 people in the New York-Newark-Jersey City, NY-NJ-PA area plausibly meet what this posting asks for (data scientists). range 390–810
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $138,970 (middle half $103,548–$176,968).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 15, 2026. It is a model, not a headcount.
Why we read it this way (5)
The role title is 'Data Scientist' but the day-to-day work — SQL querying, BI dashboards, usage analysis, and pipeline support — skews closer to a Product/Data Analyst (15-2031) than a modeling/ML-focused Data Scientist (15-2051); alt SOC is provided to reflect this ambiguity.
AWS (S3, EFS) and GCP (BigQuery, Looker Studio) are presented as an 'and/or' pair in the requirements block; AWS is listed as the primary with GCP as an alternative. BigQuery and Looker Studio are also called out specifically and captured separately as preferred given they appear as examples within the cloud infrastructure requirement.
Startup data team experience and designing foundational data models from scratch are explicitly marked 'preferred' in the posting and are captured accordingly.
'Data Studio' is listed as an alternative to Looker since the posting names both as BI tools in the requirements block; Looker Studio (the Google product) is also captured separately as a preferred skill given its explicit mention under GCP examples.
No compensation range is stated in the posting.
Read the full posting
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