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Join theScore, a dynamic subsidiary of PENN Entertainment, as a Staff Data Scientist, specializing in Personalization, in our vibrant Toronto office! Imagine being at the forefront of sports engagement, where you can shape the experience of millions of fans who rely on our leading media app and cutting-edge sports betting platform. In this pivotal role, you'll harness your expertise in data science to design and implement personalization strategies that drastically enhance user engagement on the ESPN Bet platform. Your responsibilities will include collaborating with stakeholders to identify key business challenges and deploying sophisticated models that deliver timely, relevant content to our users. We’re looking for someone with a robust background in developing personalization engines and a passion for sports and esports. The ideal candidate will have 7+ years of experience in various data-centric roles, and be proficient in modeling techniques, coding in Python, and navigating the ML lifecycle. But beyond technical skills, we want a leader who can inspire and innovate, seamlessly integrate solutions, and communicate insights effectively to stakeholders. With a commitment to ongoing evolution in data science and an openness to collaboration, you will play a crucial role in shaping the future of theScore's products while enjoying the vibrant, fast-paced world of sports betting. If you’re ready to drive significant impact in an engaging environment, we’d love to hear from you!
theScore empowers millions of sports fans through its digital media and sports betting products. Its media app 'theScore' is one of the most popular in North America, delivering fans highly personalized live scores, news, stats, and betting inform...
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