Data Scientist

📋 Description

• Own the end-to-end development of predictive and forecasting models, applying advanced statistical
• Lead complex analyses, including segmentation, clustering, churn prediction, linear optimization
• Collaborate with Data Engineers to optimize Spark pipelines and with MLOps engineers for deployment
• Standardize analytical templates and present data-driven insights to business partners with clear

🎯 Requirements

• 4+ years of experience in data science, analytics, or applied ML.
• Advanced English level (Essential for presenting ideas clearly and consulting with diverse global
• Strong technical expertise in Python and SQL.
• Proven experience with Spark and Databricks for scalable data processing.
• Clear understanding of linear regression, clustering techniques, and experimentation methods (A/B
• Strong storytelling and consultative skills to effectively explain complex solutions, answer

🎁 Benefits

• A High-Impact Environment
• Commitment to Professional Development
• Flexible and Collaborative Culture
• Global Opportunities
• Vibrant Community
• Total Rewards (Specific benefits are determined by the employment type and location.)