About the company
Easygo is the Australian powerhouse behind some of the worldās fastest growing online brands including Kick and Stake At Easygo we proudly stand as a prominent service provider to a powerhouse of brands within the iGaming industry, including Stake.com, Kick.com and Twist Gaming. Stake is the world's largest crypto casino, and leads the industry with a seamless online casino and sportsbook experience. Level up your online entertainment with Kick.com, the vibrant live streaming platform, which connects millions of gamers and content creators worldwide. All alongside the innovative game design studio, Twist Gaming, which takes creativity to new heights by crafting cutting-edge and captivating games. Our commitment to placing our clients and their communities' entertainment at the forefront of everything we do, has solidified us as the ultimate online service provider for entertainment companies.
Job Summary
What you will do:
šDesign and implement end-to-end machine learning solutions to address critical business challenges šDevelop and execute data collection strategies across global data sources šCollaborate with cross-functional teams to identify and prioritize high-impact data science opportunities šBuild and deploy scalable ML models that can handle large-scale, real-time data processing šPresent insights and recommendations to stakeholders at all levels šContribute to the development of best practices for ML model development and deployment
What you will bring:
š2+ years of hands-on data science experience in industry šBachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related quantitative field šStrong programming skills in Python ecosystem (numpy, pandas, scikit-learn) šProficient in SQL for complex data manipulation and analysis šSolid understanding of machine learning algorithms (both supervised and unsupervised) šExperience with cloud platforms (AWS, Azure, or GCP) and distributed computing
