About this role

Take ownership of the end-to-end ML lifecycle for your projects, from ideation and research to deployment and monitoring.
Design and analyze tests to validate your models and quantify their business impact and design future iterations.
Partner closely with product managers, engineers, and business stakeholders to understand requirements, define problems, and communicate your findings and results effectively.

PhD or MS in a quantitative field (e.g., Computer Science, Economics, Statistics, Physics)
3+ years of hands-on industry experience building and deploying machine learning models to solve real-world problems
Expertise in applied ML: Deep, practical knowledge of machine learning theory (supervised/unsupervised learning, deep learning) and statistical modeling
Strong programming skills in at least one major ML language (e.g., Python, Scala, Java) plus SQL
Ability to design end-to-end ML solutions including problem formulation, identification and preparation of data sources, algorithm selection, feature engineering, evaluation strategy, and production deployment and monitoring.

Machine Learning Scientist III

Key skills