Data Scientist

We build strong relationships based on highest level of integrity, quality and quality.
Key Talents provides a various rage of services to companies and individuals focusing on recruitment, training, career advisory, QA audit, IT consultancy services, QA training delivered for individuals or client’s internal teams.

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.

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.

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.