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Data Scientist, Ad Network (global)

beehiiv

Sênior100% remotoRemoto global

beehiiv is the all-in-one newsletter and creator platform powering the next generation of media companies and independent voices. We help creators and businesses launch, grow, and monetize newsletters—now serving tens of thousands of publishers and reaching hundreds of millions of readers monthly. With $30M+ ARR, 100% YoY growth, and a newly expanded product suite (ad network, website builder, paid tiers), we’re entering our next phase of hypergrowth.

We are looking for a Data Scientist to bring a rigorous, data-driven approach to our Ad Network team. This role will have a variety of responsibilities across all things data with respect to the ad network, such as BI reporting, analytics, database modeling, entity resolution, graph database modeling, and clustering. You will be driving insights and data pipelines that help us grow and optimize our network for both publishers and advertisers. You will work cross-functionally with Business Leaders, Engineering, and Machine Learning Engineers to identify friction points and surface opportunities and actionable insights. You will help build the data model to power all of this.

This is a hybrid role between a Product Data Analyst who works closely with business stakeholders and senior leadership, and someone who can own the Ad Network Data Stack across data modeling, reporting, analysis, and some machine learning.

Compensation will be based on skill set, experience, and location. Ideally, this candidate can work EST hours.

Ideally, you will have:

What you'll be responsible for:

Why this role might be for you:

Why this role might not be for you:

Why beehiiv?

Our values aren't a poster on the wall — they're the bar. It’s how we operate, publicly and privately, and what we should return to when making decisions. That’s how we keep our team's momentum. That’s how we hire and keep A players.

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beehiiv’s values.

We'll take care of you:

Salary: USD 120,000-220,000 (dependent on experience)Originally posted on Himalayas

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