Job at a glance
📋 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