Alexander Mannos
About Alexander Mannos
Alexander Mannos is a Data Scientist currently employed at Pixel United in Seattle, Washington. With a background in supply chain management and analytics, he leads the Product Insights Data Science & Analytics team, focusing on data-driven product strategies.
Current Role at Pixel United
Alexander Mannos serves as a Data Scientist at Pixel United, a position he has held since 2021. In this role, he leads the Product Insights Data Science & Analytics team. His focus is on delivering data-driven insights that enhance product strategies. Mannos applies his analytical skills to interpret complex data sets, helping to inform decision-making processes within the organization.
Previous Experience at Boeing
Prior to his current role, Mannos worked at Boeing as a Digital Integration Engineer II & Data Analyst from 2020 to 2021. During this year-long tenure in Everett, Washington, he contributed to various projects that involved data analysis and digital integration, enhancing operational efficiencies within the company.
Experience at Lockheed Martin
In 2018, Mannos briefly worked at Lockheed Martin in Orlando, Florida, as part of the Global Supply Chain Management team. His role lasted for four months, during which he gained insights into supply chain processes and operational strategies within a major aerospace and defense company.
Educational Background
Mannos earned a Bachelor of Science degree in Manufacturing and Supply Chain Management and Business Analytics from Western Washington University. He studied there from 2015 to 2019, acquiring foundational knowledge and skills that support his career in data science and supply chain management.
Diverse Professional Background
Mannos has a diverse professional background that includes roles in both analytical positions and supply chain management. He has worked in various capacities, including procurement at AudioControl and sales at Brooks Running. This varied experience has contributed to his broad understanding of industry needs and the application of data science in different contexts.