Postúlate en Kit Empleo: kitempleo.pe/empleo/wkmk2

Overview 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.

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What You Will Do - Optimize Churn Models: Evaluate the existing v1 churn model and decide whether to advance or redirect it to maximize accuracy.

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- Scale AI Products: Identify and implement improvements for an active AI Content Tagging product to expand its capabilities.
- Strategic Roadmap Delivery: Contribute to initiatives like Smart Pricing recommendations, Send Time Optimization, and Bot Monitoring Agents.
- Data Partnership: Collaborate with internal teams to understand data definitions and translate business requirements into technical solutions.
- Complex Data Navigation: Explore and clean inconsistent datasets within large-scale relational schemas. 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.

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Benefits & Compensation - $3,000 - $4,500/month - paid in USD, bi-weekly via Deel.

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- Fully Remote - work from anywhere in Latin America.
- Long-term contract - starting with a 6-month contract, then full-time.
- Paid PTO - details provided per role.
- Referral Program - earn a bonus for referring talent that gets hired. To Apply - Please send your resume in English.
- LinkedIn Profile URL (Required).
- GitHub Repository (Required).
- Cover Letter (Optional but encouraged) - tell us why you're excited about this specific role.

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About

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OneSeven Tech Founded by James Sullivan, OneSeven Tech is a premier digital product agency serving startups and enterprises. Our clients have collectively raised over $100M in VC, and our enterprise partners include NASDAQ-listed companies. We work fully remote, move fast with 1-week sprints, and focus on elegant solutions to complex problems

Postúlate en Kit Empleo: kitempleo.pe/empleo/wkmk2

📌 Data Scientist Ssr - Sr (Ate)
🏢 OneSeven Tech (OST)
📍 Ate