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About the role
We are looking for Data Scientist who help us explore and derive insights hidden in vast amounts of data, and help us make data-driven decisions to improve and enhance our products. Your primary focus will be in doing statistical analysis, applying machine learning techniques for building high quality recommender and prediction systems in and around our products. Roles and Responsibilities Build, test and deploy prediction and recommendation models to solve business and product needs, e.g. pricing optimisation, games/ content recommendation, churn prediction, customer segmentation, building adaptive engines Work with large data sets and apply advanced analytical methods as needed, deriving valuable insights from data to drive business and product outcomes Develop deep understanding of the products and collected data points, enhance data collection procedures to include information that is relevant for building prediction and recommender systems Process, cleanse, and verify the integrity of data used for analysis, build ML pipelines to provide insights at scale. Present analysis and insights to stakeholders and advocate for positive change Requirements Professional degree in a quantitative discipline (e.g., Statistics, Computer Science, Mathematics, Data Science) or equivalent practical experience. At least 3 years of work experience in machine learning/ deep learning related field and in-depth knowledge of advanced analytical methods Should be able to work independently, select the right tools, algorithm and technology for the problem at hand Excellent verbal and written communication skills (including presentation skills) Experience in Pythons, SQL and building ML pipelines