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Canada
Remote only
At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It’s transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We’re not waiting for the future to arrive. We’re shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together.
As a Senior Data Science Engineer for Personalization, you'll shape how millions of customers experience our Sportsbook & Casino verticals by transforming data into intelligent, real-time decisions. You'll sit at the center of our Consumer Data Science Team, building machine learning solutions that power personalization, content optimization, and product innovation. Your work will directly influence how we understand and engage our users deeply embedding data science into our content engine and platforms. In a fast-moving, technology-driven environment, you'll lead high-impact initiatives that define what relevance looks like in a sports and iGaming entertainment.
Lead end-to-end data science initiatives, from problem definition and modeling to production deployment and performance monitoring.
Design and implement statistical models and machine learning algorithms that solve complex business challenges and enhance user engagement.
Partner with Engineering, Product, and Analytics teams to integrate scalable data science solutions into live production systems.
Drive innovation in personalized game recommendations and page layout optimization by experimenting with new algorithms and data-driven approaches.
Translate complex technical findings into clear, actionable insights that empower stakeholders to make informed decisions.
Deploy and maintain production-grade Python software.
Mentor junior data scientists, champion best practices, and elevate the team’s technical rigor and impact.
Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or a related field.
At least 3 years of professional experience in data science, with deep expertise in machine learning and statistical modeling.
Strong proficiency in Python, along with experience using data manipulation and visualization tools.
Experience deploying models into production environments and collaborating closely with engineering partners.
A proven ability to break down complex problems into scalable solutions and deliver high-quality results in a fast-paced environment.
Strong communication skills, with the ability to explain technical concepts to cross-functional audiences and senior stakeholders.
Hands-on experience developing personalization algorithms and applying them to content delivery or user-facing platforms.
A collaborative, innovative mindset with a passion for using data to build impactful products.
We’re a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don’t worry, we’ll guide you through the process if this is relevant to your role.
