We are seeking a senior data scientist to join our machine learning and advanced analytics DS team. In this role, you will leverage machine learning and advanced analytics to tackle challenging problems and deliver scalable game solutions across development, publishing, and live operations. Responsibilities include establishing efficient automated processes, providing end-to-end data solutions, conducting large-scale data analysis, experimentation, model development, validation, and serving. You will also collaborate with various teams and provide actionable business insights to stakeholders.

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<div data-automation-id="jobPostingDescription" class="css-oplht1"><h1><u><b>Responsibilities:</b></u></h1><p>● We are hiring a senior data scientist for the machine learning and advanced analytics DS team.<br><br>● Apply machine learning and advanced analytic methods to solve challenging problems and deliver scalable game solutions in development, publishing, and live operations.<br><br>● Establish scalable, efficient, automated processes and provide end-to-end data solutions with large-scale data analysis, experimentation, machine learning/deep <span style="word-break: break-word; word-wrap: break-word; display: inline; text-decoration: inherit; hyphens: auto; -webkit-hyphens:auto; -ms-hyphens: auto; -moz-hyphens: auto;">learning/reinforcement</span> learning model development, validation, and serving.<br><br>● Interact cross-functionally with various teams and provide actionable business insights for stakeholders.</p><h1><u><b>Requirements:</b></u></h1><p>● Graduated with a master’s or Ph.D. program in a quantitative discipline such as statistics, machine learning, computer science, math, economics, etc.<br><br>● Expertise in one or more of the following areas: machine learning &amp; statistical learning, deep learning, reinforcement learning, statistical analysis, experimentation, NLP, computer vision, recommendation system, and any other data science-related domains.<br><br>● Experience utilizing analytics, inference, experimentation, or machine learning techniques in real-world applications is preferred.<br><br>● Excellent knowledge of data science methods and best practices, such as data analysis and visualization, supervised learning, unsupervised learning, and time series.<br><br>● Proficient in SQL and Python.</p></div>

Data Scientist 103890