Data Scientist

Role Overview

As a Data Scientist, you will lead medium-complexity data science projects, build robust predictive models, and partner with cross-functional teams to translate analytical outputs into business impact.

What You Will Do

Own the end-to-end development of predictive and forecasting models, lead complex analyses, collaborate with Data Engineers and MLOps engineers, standardize analytical templates, and present data-driven insights to business partners.

Why It Might Be a Fit

Must-have skills include experience in data science, analytics, or applied ML, strong technical expertise in Python and SQL, and proven experience with Spark and Databricks. Nice-to-have skills include AI tooling proficiency, experience with deep learning, and familiarity with CI/CD concepts.

Requirements

• 4+ years of experience in data science, analytics, or applied ML
• Advanced English level
• Strong technical expertise in Python and SQL
• Proven experience with Spark and Databricks
• Clear understanding of linear regression, clustering techniques, and experimentation methods
• Strong storytelling and consultative skills

Benefits

• High-Impact Environment
• Commitment to Professional Development
• Flexible and Collaborative Culture
• Global Opportunities
• Vibrant Community