Data Science Scientist - Remote

We are currently looking for a Data Scientist in Chile.

This role offers the opportunity to drive data-informed product decisions for high-impact digital products. The position emphasizes rigorous data practices, A/B testing, and experimentation, enabling you to influence key product decisions. This is a senior-facing role where analytical expertise meets strategic impact, and your work will help shape product experiences for millions of users. The environment is collaborative, remote-friendly, and aligned with U.Analyze user behavior patterns using Python and SQL to generate actionable insights.

Design, execute, and interpret experiments, including A/B tests, to validate product changes.

Recommend improvements to product features based on quantitative analysis and behavioral signals.

Partner with product managers, engineers, and designers to prioritize initiatives using data-driven evidence.

5+ years of experience in product-focused data science, with a proven track record influencing product decisions.

• Strong proficiency in Python (pandas, numpy, Jupyter) and advanced SQL for large-scale data analysis.
• Solid foundation in statistics and experimentation methodologies, including A/B test design and interpretation.
• Experience in communicating complex analyses effectively to non-technical stakeholders.
• Familiarity with data visualization best practices.
• Ability to collaborate across time zones and work remotely while overlapping U.Experience building and deploying machine learning models using scikit-learn, TensorFlow, or PyTorch.

Engineering-oriented data science background with exposure to data modeling, architecture, or production data pipelines.

Remote-first role with flexibility to work from home in Brazil.

Collaboration with senior, data-driven product teams and cross-functional partners.

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR).