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# Data Scientist

- **Company:** La Comunidad  Corporation
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Information Engineering, Python (Programming Language), Machine Learning, SQL Databases, Large Language Models, Generative AI, Databricks
- **Published:** September 23, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pm2wosur5v

## About the Role

* BA/BS degree or equivalent experience
 * 9-12 years of professional experience in data science, statistical modelling, or predictive analytics within high-volume tech or digital media
 * Deep hands-on experience building and validating production ML models within Databricks environments, with advanced proficiency in Python, SQL and experimentation/statistical methods
 * Fluent in using modern AI coding assistants and LLMs to accelerate model iteration, testing, and analytical workflows
 * Strong understanding of data privacy frameworks and cross-border data security protocols, particularly when working with data from complex regulatory environments
 * Exceptional verbal and written English communication and presentation skills

## Description

Maker Lab supports clients across technology, entertainment, financial services and the payments industry. We're looking for dynamic individuals to join our team and support our amazing clients in the music and entertainment industry., * Design, train and validate machine learning and statistical models that monitor product consumption velocity, flag early-stage trend spikes, and calculate real-time success probabilities for upcoming releases

 * Partner with data engineering to define feature requirements and consumption patterns for a unified data engine that ingests real-time signals from DSPs, social networks and eCommerce platforms
 * Build localised data tokenisation and anonymisation approaches into modelling workflows to ensure compliance with cross-border data regulations when working with data from regulated markets
 * Use modern AI coding assistants to rapidly prototype, test and iterate on models, and to build interactive dashboards and visualisations for non-technical marketing teams to monitor campaign performance
 * Develop and refine a natural-language AI briefing intake system, including automated classification of incomplete or non-compliant briefs and AI-generated brief enhancements drawn from historical campaign data and past model outputs
 * Collaborate with Paid Media on predictive scoring to prioritise bulk ad deployment for strong-performing campaigns, and with Creative teams on data-informed, Gen-AI-assisted script generation for proven creative assets


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