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# Data Scientist

- **Company:** Valnet Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $120,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Ahrefs Site Explorer, Data Analysis, Electronic Publishing, Google Analytics, Google Webmaster Tools, Large Language Models, Restful APIs, Data Pipelines, Api Management, Web Api
- **Published:** September 15, 2026
- **Apply:** https://www.builtincolorado.com/job/data-scientist-applied-ai-scientist/9937468?handler=ApplyRedirect

## About the Role

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

## Description

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.
The summary above was generated by AI, 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, Google Ad Manager · Google Search Console · GA4 · Ahrefs · Reddit API · YouTube Data API · SimilarWeb · Slack API · Google Sheets · Gemini · Claude