Datu zinātnieks / Data Scientist (Risk and fraud detection/ML)
Core
Design and develop machine learning solutions to enhance risk assessment and fraud detection for an online gaming platform.
Role type
Senior Machine Learning Engineer (Risk & Fraud)
Builds
Scalable ML models for fraud detection and risk assessment
Domain
Online Gaming / Financial Risk
Deliverable
production ML models
Required skills
Supervised/unsupervised learning, Deep Learning, NLP, Linear algebra, Statistics, Probabilistic modeling, Python, SQL, Scikit-Learn, PyTorch
Preferred skills
Scala, Java, Spark, Athena, ClickHouse, AWS, Production deployment
Technologies
PyTorch, Scikit-Learn, Spark, Athena, ClickHouse, AWS, GitLab, Jenkins
Responsibilities
Develop and optimize ML models for fraud detection and risk assessment, Partner with stakeholders to identify ML approaches, Work with data engineers to source and preprocess datasets, Define performance metrics and evaluation frameworks, Train, test, monitor, and refine models, Deploy ML models to production environments
Seniority
Senior, hands-on IC