Data Scientist(Job No 610)

Must haves

• Strong python skills
• Strong problem-solving skills
• Ability to work in a collaborative environment - reviewing peers' code, contributing to problem-solving sessions, ability to communicate technical knowledge to a a variety of audience (such as management, brand teams, data engineering teams, etc)
• demonstrated familiarity with distributed computing frameworks (snowpark, pyspark)
• software engineering background (good software design practice)
• history of machine learning work (preferred: recommender systems, end-to-end ML lifecycle)
• Experience with all sizes of ML model (from linear/logistic regression, to other sklearn-like models, to deep learning)
• Experience with ML on largely imbalanced training sets (<5% positive rate)
• Experience with training schema for unbiased model training (eg. K-fold cross-validation, leave-one-out cross-validation) for parameter searching and model tuning
• Ability to articulate model performance to a non-technical crowd, and ability to select appropriate evaluation criteria to evaluate hidden confounders and biases within a model
• MLOps frameworks and their use in model tracking and deployment, and automating the model serving pipeline