Applied Machine Learning Lead
Core
Senior Applied Machine Learning Lead responsible for delivering production-grade ML solutions, managing the data science roadmap, and driving business impact in iGaming.
Role type
Senior Applied Machine Learning Lead (Hands-on IC with team leadership)
Builds
Production-ready statistical and machine learning models, reusable ML capabilities, and analytical workflows
Domain
iGaming / Gaming / High-volume digital products
Deliverable
production ML models
Required skills
Python, statistical modelling, predictive analytics, experimentation design (A/B testing), SQL, large-scale data processing (Databricks/Spark), MLOps, cloud platforms (AWS/Azure/GCP), software engineering best practices, team leadership
Preferred skills
Experience in iGaming, gaming, e-commerce, fintech, or high-volume digital product environments
Technologies
Python, SQL, Databricks, Spark, AWS, Azure, GCP
Responsibilities
Design, build, and maintain production-grade ML models; own the end-to-end experimentation lifecycle; manage the data science backlog and roadmap; lead and mentor the Data Science team; establish technical standards for model review, documentation, and production readiness; monitor model performance and data drift; collaborate with product and engineering teams to deliver data-driven solutions
Seniority
Senior, hands-on IC with team leadership