We are looking for a passionate, experienced and talented Data Scientist who can develop innovative machine learning models for solving problems within a wide scope.
The Data Scientist will work on highly complicated challenges in the gaming industry. Will take a significant part in the growth process of one of the leading gaming companies in the world and work in a challenging, exciting and expanding environment.
Work with leading developers, analysts, product managers and business owners on growth opportunities and new ideas and be part of our big data revolution.
This is a unique opportunity for E2E Data Scientists that have a strong background and experience in machine learning pipeline going through business understanding, data exploration, feature engineering, model building, performance evaluation, testing and production deployment.
Work closely with various departments in the company to provide advanced Data Science solutions end to end;
Independent research and innovation in new content and technological domains;
Take leading role in projects such as fraud and anomaly detection, marketing mix optimization, real-time predictions, handling live streaming data, LTV forecast, users clustering and personalization, and many others.
Career web site : Sparkware
MSc / Phd in Computer Science / Statistics / Engineering or related field with focus on applied statistics, AI, machine learning, or related fields;
4+ years of working experience with predictive and probabilistic models, clustering algorithms, classification models and time series techniques.
Preferably in production environment;
Excellent analytical and algorithmic skills;
3+ years of experience working with databases and complex SQL procedures;
Experience with Git and the various branching models;
Proven record for successful implementation of translating business requirements into a technical solution;
Team player with ability to handle several tasks simultaneously;
Technologically diverse background and ability / willingness to learn new things quickly;
Experience with cloud technologies;
Spark and Big data technologies experience;
Experience in the gaming industry - an advantage.