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 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.
Why This Could Be Your Next Big Move
High Influence & Immediate Impact - You won't just execute tasks; you will be responsible for auditing existing work and proposing the best architecture for models affecting millions of subscribers. You will join a high-urgency environment where your technical judgment defines the product's direction. This is a "cutting-edge tech" role where you’ll tackle complex data ownership challenges and innovate within a sophisticated AI Pod.
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.
LinkedIn Profile URL (Required).
GitHub Repository (Required).
Cover Letter (Optional but encouraged) - tell us why you're excited about this specific role.
About 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