Mountain View, CA

Salary
$165,000–$205,000
Posted
Jul 27, 2026
Location
Mountain View, CA
Last confirmed open
Jul 28, 2026

What this job asks for AI summary

A Data Scientist role on the Ad Platform team at a large-scale local news and content intelligence platform. The position centers on applying machine learning, statistical modeling, and A/B experimentation to optimize ad delivery, targeting, bidding strategies, and recommendation systems. It suits someone with hands-on experience in data science or analytics, ideally in an advertising or digital marketing context, who can collaborate across engineering, product, and sales.

Mid level · 3+ years · Mountain View, CA · Bachelor's required · Full-time

Pay in the description: $165,000–$205,000

Must have (8)
Python or RSQLSpark or HadoopTensorFlowA/B testingstatistical analysiscausal inferencemachine learning
Nice to have (2)
real-time bidding (RTB)ad attribution

“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 310 people in the Mountain View, CA area plausibly meet what this posting asks for (data scientists). range 230–400

Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.

What won't set you apart
Python88%machine learning80%SQL72%statistical analysis60%A/B testing45%

Most people in this occupation already list these. Still required — just not what gets you shortlisted.

What the occupation pays Median $189,150 (middle half $152,859–$224,286). This posting is about at that midpoint.

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 (6)

The JD lists Python, R, or SQL together as a single requirement — Python is used as the primary name with R as an alternative; SQL is emitted separately since it is a distinct technology also named in the same clause.

Spark, Hadoop, and TensorFlow are listed as examples of 'big data technologies' under the Requirements section; Spark is the primary name with Hadoop as an alternative. TensorFlow is kept separate as it is a distinct ML framework rather than a big data processing tool.

Experience with large-scale ad datasets and real-time bidding (RTB) platforms is explicitly called 'a plus' in the posting, so RTB is marked preferred.

Ad attribution and auction dynamics appear under a 'Knowledge of…' bullet in Requirements but are framed as domain knowledge rather than hard technical gates; ad attribution is captured as preferred given the softer framing.

The location is inferred as the San Jose/Mountain View, CA metro (NewsBreak's known headquarters); the posting does not explicitly state a city, so this is a best-effort inference.

The degree requirement lists Bachelor's, Master's, or PhD — Bachelor's is the minimum and is set accordingly; equivalent experience is not offered as a substitute.

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