GoToGroup - Lead Data Scientist - Payment Data Team
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Responsibilities
• Work as part of a cross-functional team of engineers, product managers and business analysts to build data science solutions that build customer engagement and help grow GoPay’s customer base and transactions • Rapidly prototype data science solutions and be involved in product and feature discussions • Analyze large volume data and generate insights which will be actionable • Own end-to-end solutioning, from formulating the technical problem to deployment (along with engineers) of the solution • Participate in internal and external conferences and workshops • 6–8 years of relevant experience in applied data science or machine learning roles. • Proficiency in Python, and familiarity with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch. • Solid understanding of ML fundamentals including supervised learning, ranking, embeddings, and evaluation metrics. • Hands-on experience in recommender systems, personalization, search, or ranking models is strongly preferred. • Experience working with large-scale datasets using platforms such as Spark, MaxCompute (MC), or other distributed data environments. • Strong analytical and problem-solving skills, with the ability to translate complex data insights into actionable recommendations. • Good communication skills to engage with cross-functional partners and present results clearly. • Master’s or Ph.D. in a quantitative discipline (e.g., Computer Science, Statistics, Applied Mathematics, or related field) is a plus.
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