Senior Data Scientist

📋 Description

• Lead the end-to-end lifecycle of ML projects — from problem framing, data exploration, feature
• Partner with cross-functional leadership on joint strategic initiatives to deliver measurable
• Identify, address, and resolve architectural and technical hurdles in developing scalable data
• Drive architectural decisions regarding pipelines, model registries, or feature store development
• Raise the technical bar of the team by actively mentoring other data scientists and promoting
• Stay curious by exploring and implementing cutting-edge data science technologies to foster

🎯 Requirements

• At least 5 years of experience working as a Data Scientist, with a proven track record of leading
• Strong command of classical ML techniques — regression, classification, ensemble methods
• Strong expertise in Python and data science libraries, along with deep proficiency in SQL and cloud
• Proven experience mentoring other data scientists, raising technical standards, and advocating for
• Demonstrated ability to drive architectural decisions (such as pipelines, model registries, or
• Solid software engineering foundations or an advanced degree (Masters/PhD) in a relevant field