Education in Mathematics, Machine Learning, Data Science, Statistics, Operations Research, Economics, or other quantitative fields.
Solid experience as a lead data scientist (primary focus on recommendation systems or online advertising problems is a plus).
Knowledge of mathematics and probability theory, solid understanding of statistics, e.g. statistical power analysis, significance testing.
General machine learning expertise, i.e. regression, classification, and clustering algorithms, time-series analysis, Bayesian methods, and survival analysis.
Prototype-to-production engineering skills in Python, including best practices such as source control, proper documentation, library packaging, versioning, testing, containerization, CI/CD, and task scheduling.
Advanced SQL and distributed big data processing skills (Hadoop, Spark) is a plus.
Professional habits around model validation, testing, and tracking; tenacious and self-catalyzing problem solving skills
A high tolerance for ambiguity, and coordinating effectively on a team.
Good enough written english.

JOIN MY.GAMES