Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field.
3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree.
Preferred qualifications:
5 years of experience as an applied ML engineer, applying Deep Learning models and ML to solve problems.
Experience building and managing data processing pipelines to generate features, dashboards, and analyses.
Experience with Python, and with libraries and frameworks (e.g., TensorFlow, Scikit-learn, PyTorch, etc.).
Experience in cloud computing and ML operations.
Excellent problem solving skills, with the ability to navigate technical issues.