Grace Tang

Data Science Manager at Spin | Greater Seattle Area

About Grace Tang

Grace Tang is a seasoned Data Science Manager at Spin, where she leverages over eight years of experience to drive impactful data-driven strategies across the company's four key product verticals: Rider Activation, Rider Engagement, Rider Acquisition, and Payments & Platform. In her current role, Grace leads a talented team of data scientists who are dedicated to harnessing the power of data analytics to enhance user experiences and optimize operational efficiencies.

Grace’s expertise lies in her ability to translate complex data sets into actionable insights that inform critical business decisions. By collaborating closely with cross-functional teams—including Product, Marketing, Engineering, and Business—she ensures that data products are not only technically sound but also aligned with strategic objectives. Her proficiency in SQL and R enables her to conduct in-depth analyses, while her skills in Microsoft Excel and PowerPoint allow her to effectively communicate findings to stakeholders at all levels.

One of Grace's key projects involved developing a predictive model to enhance Rider Acquisition efforts, which significantly improved targeting strategies and increased user sign-ups. Additionally, she has spearheaded initiatives aimed at boosting Rider Engagement through personalized marketing campaigns, utilizing advanced analytics to understand user behavior and preferences. Grace’s commitment to teamwork and her customer-centric approach have been instrumental in fostering a data-driven culture at Spin, positioning the company as a leader in the micro-mobility industry. As she continues to innovate and inspire her team, Grace remains dedicated to leveraging data science to shape the future of urban transportation.

Grace Tang Work