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About the role
Expert knowledge of Python for data analysis and machine learning modeling.
Hands-on experience with common ML libraries and frameworks.
Strong understanding of machine learning and statistical techniques including supervised/unsupervised learning, time series analysis, and A/B testing.
Experience deploying ML models into production and maintaining them.
Proficiency in writing clean, reproducible, production-grade code.
Solid knowledge of SQL and experience working with structured and unstructured data from relational databases and/or data lakes.
Demonstrated ability to communicate complex technical concepts to business stakeholders clearly and effectively.
Experience working in cross-functional teams and collaborating with product, engineering, and business units.
Experience with version control (Git) and agile development practices.
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