Be part of a data-science team where you will lead end-to-end ML projects. (from business understanding through data exploration, research, algorithm development, evaluation, optimization & A/B testing to model deployment)
Take part in developing new cutting-edge algorithms based on various ML techniques
Improve our ML pipeline
Work in a short life-cycle research and development environment, while continually adjusting algorithms according to A/B testing feedback
Work closely with the Product, Customer Success, BI, Dev and DevOps teams
MSc in a quantitative field (Computer Science. Statistics, Software\Information System Engineering or similar), specializing in Machine Learning
2+ years of working experience as a data scientist
Hands-on experience with Python development
Strong knowledge with SQL/NoSQL databases
Experience in deploying ML algorithms to production environments
Deep understanding of machine learning models and statistical inference
Great communication and interpersonal skills
Experience with Recommender System, Reinforcement learning or AutoML will be an advantage
Experience with one or more deep learning framework will be an advantage
