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 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.

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 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

#J-18808-Ljbffr

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