Job description

Essential:

A curious, creative, analytical mindset open for ideas coming from: psychology, neuroscience, econometry, statistics, physics, machine learning and data science
Passionate about quick, hands-on prototyping with tight feedback loops
Strong knowledge of fundamental statistics, probability theory, information theory, linear algebra
Experience in building custom ML algorithms and pipelines from scratch
Python, SQL coding knowledge

Highly desirable:

Strong core computer science, data structures and algorithms
Experienced in working with very large datasets and live production systems
Knowledge of gradient boosting and/or deep learning
Experience with either: representation learning, semi-supervised learning, reinforcement learning, natural language processing, ranking & recommendation, metaheuristics and optimization, generative models

Nice to have: