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Nathan Towery
Data Engineering and Infrastructure
Professional Background
Nathan Towery is a highly skilled and experienced data science and engineering leader known for his passion for leveraging data to drive business improvement and create positive social impact. With an extensive career in the big data space, Nathan has played significant roles in renowned organizations such as Apple and Netflix, where he has honed his expertise in data engineering, analytics, experimentation, and machine learning. His primary focus is on building and leading elite teams that are capable of not only analyzing data but also using it strategically to inform business decisions and long-term strategies.
Over the years, Nathan has held progressive leadership positions, starting from his early days as an analyst at Marshall & Swift/Boeckh and transitioning to various roles at MySpace, where he built a solid foundation in data analysis and warehouse engineering. As he advanced in his career, Nathan's analytical skills and strategic vision led him to Netflix, where he thrived in a spectrum of leadership roles, including Director of Data Science & Engineering and Director of Product Data Engineering & Analytics. Throughout these impactful positions, he managed a wide range of projects contributing to Netflix's mission of delivering a seamless user experience through data-driven insights and technical innovation.
After making remarkable contributions to Netflix, Nathan joined Apple, where he now focuses on Siri Assistant & Search Data Engineering. At Apple, he continues to push the boundaries of what data can accomplish, utilizing his rich background to improve products and services that positively impact users worldwide.
Education and Achievements
Nathan Towery's educational background includes both a Master of Science (MS) and a Bachelor of Science (BS) in Mathematics from Virginia Tech. This strong foundation in mathematics enhances his analytical capabilities and underpins his data-driven decision-making processes. The skills he acquired through his academic training have been instrumental in his successful career trajectory, allowing him to tackle complex problem-solving scenarios and develop innovative solutions.
Throughout his career, Nathan has been involved in significant projects and initiatives that have not only advanced the companies he has worked for but also contributed positively to the broader community through data-centric social impact projects. His dedication to fostering a culture of analytics and experimentation has empowered teams to make evidence-based decisions, enhancing business strategies and operations.
Achievements
Nathan's notable achievements in the field of data science and engineering are extensive. At Netflix, he played a pivotal role in enhancing data infrastructure that supported multiple facets of the company, including product development, content delivery, and marketing analytics. His strategic insights and leadership capabilities were key to creating data solutions that aligned with Netflix's vision and service commitments.
At Apple, Nathan's contributions to Siri Assistant & Search Data Engineering showcase his ongoing commitment to innovation. He takes pride in contributing to a product that assists millions of users, further solidifying his dedication to making a social impact through technology.
Nathan's journey reflects his pursuit of excellence in data science and engineering, showcasing a blend of technical acumen, leadership prowess, and a commitment to positive change. He is not just a numbers person but a visionary leader who understands the broader implications of data in business and society. His reputation as a mentor and team builder makes him a sought-after leader in the industry, dedicated to cultivating talent and fostering the next generation of data professionals.