ML Research Lead, REMOTE

data science

Your Future role

Leading and grooming team of data analytics and ML engineers
Coordinating experiments and required feature-set with C++ Team
Exploring and adopting ML practices capable to solve particular problems on huge datasets, investigating every opportunity until there is a thorough solution
The first problem will be predicting in-app purchases event in real-time (<3ms per prediction)
and conducting A/B tests to confirm results are statistically meaningful
Synthesizing disparate data, extracting insights from various sources, e.g. marketing, in-games, 3rd-party’s to be used in further experiments and pipelines
Participation or leading anti-fraud research and development (we would be happy to hire dedicated person for this soon)

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.