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MovieWeb

Data Scientist / Applied AI Scientist

Reposted One Month Ago
Remote
Hiring Remotely in United States
Mid level
Remote
Hiring Remotely in United States
Mid level
Build lightweight, Slack- and Sheets-integrated AI agents to pull and analyze data from ad and web APIs, surface anomalies and trends, and produce alerts, reports, and LLM-generated content briefs and recommendations. Deliver scoped, fast iterations on multi-step pipelines including classifiers, scorers, and recommendation layers.
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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.

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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