Overview Project Brief We are driving strategic AI initiatives to transform user retention and engagement for a massive data platform serving the Mar Tech 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. What You Will DoOptimize Churn Models: Evaluate the existing v1 churn model and decide whether to advance or redirect it to maximize accuracy. 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 HaveNLP & LLMs: Experience with content classification, LLM context injection, and structuring data for agent consumption. Industry Domain: Background in Mar Tech 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. Benefits & Compensation$3,000

- $4,500/month
- paid in USD, bi-weekly via Deel. 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. Linked In Profile URL (Required). Git Hub Repository (Required). Cover Letter (Optional but encouraged)
- tell us why you're excited about this specific role. About One Seven Tech Founded by James Sullivan, One Seven 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

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📌 Data Scientist Ssr - Sr — Python, Pandas, Sickit Learn, Snowflake, SQL Server, Machine Learning (Santa Fe)
🏢 OneSeven Tech (OST)
📍 Santa Fe