Data Scientist / Applied AI Scientist

About the Role

We're looking for a freelance AI agent developer or data scientist to help us build a suite of intelligent automation tools across editorial and revenue operations.

You'll be working in a fast-paced digital media environment, turning data pipelines into actionable, Slack-integrated agents that help a small team move faster and smarter.

This is a hands-on, build-first contract. Most projects are scoped at 5–15 hours each, with a backlog of roughly 18+ agents ready to go.

What You'll Be Building

Across two tracks — editorial intelligence and revenue/ad operations — you'll design and deploy lightweight agents that:

• Pull and analyze data from sources like Google Ad Manager, Google Search Console, GA4, and third-party APIs (Ahrefs, Reddit, YouTube, SimilarWeb, etc.)

• Surface anomalies, trends, and performance signals automatically

• Deliver alerts, reports, and recommendations directly into Slack or Google Sheets

• Use LLMs (Gemini or equivalent) to generate content briefs, scoring outputs, and editorial angles

Agents range in complexity from simple scheduled data pulls to multi-step pipelines with classifiers, scorers, and recommendation layers.

You're a Good Fit If You:

• Have experience building data pipelines and API integrations (REST APIs, Google APIs, Slack API)

• Are comfortable using LLM APIs (Gemini, OpenAI, Anthropic) as part of multi-step workflows

• Can scope and ship quickly — these are lean builds, not enterprise architecture projects

• Have worked in media, publishing, or SEO/ad tech environments (a bonus, not a requirement)

• Communicate clearly about what's done, what's blocked, and what trade-offs exist

Tech Stack / APIs You'll Work With

Google Ad Manager · Google Search Console · GA4 · Ahrefs · Reddit API · YouTube Data API · SimilarWeb · Slack API · Google Sheets · Gemini · Claude

How to Apply:

If you are interested in this role, please send us one of the following:

• Links to relevant past work

• A portfolio

Our hiring team will review your application and contact you if we believe that your experience could be a match for this role.

Please note that a writing evaluation may be required as part of our application process.

Polygon is part of the Valnet Publishing Group. (https://www.linkedin.com/safety/go/?url=https%3A%2F%2Fwww.valnetinc.com%2F&urlhash=NguK&isSdui=true)

Valnet, founded in 2012, is a global digital publishing and media investment Company that owns and operates over 27 authoritative brands across diverse verticals, including entertainment, sports, technology, automotive, gaming, lifestyle and travel.

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