Responsibilities: * Design data science, statistical, machine learning and deep learning systems that influence millions of players * Implement and optimize appropriate ML algorithms and tools for time series and tabular data * Transform data science prototypes into full-scale products, while deploying and monitoring ML models * Run live tests and experiments * Train and retrain systems when necessary * Create or extend existing ML libraries and frameworks * Collaborate with other scientists, engineers, architects and analysts spread across several countries
Requirements: * MSc in Computer Science, or any related degree * Solid working experience in Python and Java — high coding standards, clean code, well documented, and extensive unit testing- Must. * Experience working with databases (SQL and no-SQL) * Experience with Scala * Experience with training, testing, deployment, and monitoring real-time (or near real-time) machine learning models in production * Experience with machine learning frameworks (like Keras, Tensorflow, or PyTorch) and libraries (like scikit-learn) — Big Advantage. * Experience with Big Data tools, in particular batch and stream processing (Spark, Kafka, Hadoop, Hive, etc.) — Must * Good understanding of container & orchestration technologies (Docker, Kubernetes, etc.) — Must * Experience working on high-scale, production-grade projects * All-around team player who is a self-motivated, fast learner
