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Project Brief
We are driving strategic AI initiatives to transform user retention and engagement for a massive data platform serving the MarTech and publishing industries. We need a Data Scientist to take ownership of a
Project Brief
We are driving strategic AI initiatives to transform user retention and engagement for a massive data platform serving the MarTech and publishing industries. We need a Data Scientist to take ownership of a Subscriber Churn prediction model and enhance AI Content Tagging products already live in production. You will navigate complex relational schemas with over 700 tables to build high-impact models that solve real-world business problems.
Must-Haves
Advanced SQL & Python: Strong proficiency in SQL (SQL Server) and Python for data science, including pandas and scikit-learn.
Cloud Data Platforms: Professional experience with Snowflake .
Cloud Infrastructure: Experience working within AWS environments.
Machine Learning Deployment: Proven experience building and deploying predictive models, specifically Churn Prediction or Propensity Scoring .




Data Dexterity: Ability to work with complex relational schemas and adapt to variable data availability across different clients.
English Fluency: Advanced level for seamless technical and functional communication.
Independent Execution: Ability to work autonomously within an established AI Pod.
Nice to Have
NLP & LLMs: Experience with content classification, LLM context injection, and structuring data for agent consumption.
Industry Domain: Background in MarTech or the publishing industry, including subscriptions, renewals, and audience engagement.
Snowflake Ecosystem: Experience with Cortex ML or Snowpark .
Metadata Management: Experience building data dictionaries or documentation for AI systems.
Data Engineering Literacy: Familiarity with on-prem to cloud data replication patterns.
What You Will Do
Optimize Churn Models: Evaluate the existing v1 churn model and decide whether to advance or redirec

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📌 Data Scientist Ssr (Colombia)
🏢 OneSeven Tech (OST)
📍 Colombia