Data Scientist

2 semanas atrás

Lisboa, Portugal Dmarket Tempo inteiro

.DMarket, recently acquired by Mythical Games, makes the secure purchase and trade of virtual items possible through our blockchain-enabled marketplace.Mythical Games is a Venture-backed game technology company powering the next generation of players, games, and studios. Our goal is to launch exceptional video games that leverage distributed ledger tech while also providing a platform that will allow other game developers to do the same.At Mythical Games, we are proud of our 'People First' culture. We believe that it takes great people and culture to make great products. By treating each other with empathy and respect, we can live fulfilling lives outside of our jobs while also creating exceptional work.The Data Scientist / Machine Learning Engineer is at the forefront of leveraging data to shape the business's strategic decisions and bring data-driven products to market. Reporting to the Head of Economics Data Science, this role will be primarily responsible for the design, development, and operation of predictive models and algorithms that power business and retail user experience across a growing portfolio of digital game assets. Our ideal candidate is someone who is passionate about data, and knows how to solve problems using a mix of economic theory, machine learning, and AI techniques, and industry experience in a financial or e-commerce setting.The candidate will be based in Europe and will be required to communicate with colleagues in fluent Ukrainian and English.Responsibilities:Develop, monitor, and improve the predictive models that power trading features on our marketplace; including random forestand neural net models for asset valuation, pricing, and fee optimizationDevelop and productize models that improve user interactions with our marketplace, for example, recommendation engines based on sparse matrix factorization, and customer churn / LTV prediction using reinforcement learning methodsAssess, integrate, analyze, and build basic pipelines for new sources of internal and external dataCollaborate with product managers and engineers to productize data solutionsBasic QualificationsBachelor's degree in a technical field with exceptional academic credentials (e.G., Mathematics, EE/CS, Statistics, or Operations Research)3+ years of commercial experience as a Data Scientist, ML Engineer, or similar rolesProficiency in Python, including experience with scientific computing libraries such as NumPy, SciPy, pandas, and scikit-learnProficiency with SQLKnowledge of statistics, econometrics, and machine learningEnglish level Upper-intermediate+Preferred QualificationsMA/MS

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