UP.Labs
UP. Labs is a venture lab that focuses on investing in and developing technologies that enhance the movement of people and goods. With a mission to make transportation cleaner, faster, safer, and more efficient, they collaborate with entrepreneurs and corporations to transform various modes of transport, including ground, aerial, maritime, and space vehicles. UP. Labs also leverages artificial intelligence for innovative solutions in schedule planning and logistics, working towards a sustainable future in the transportation industry.
Head of Data
March 18
UP.Labs
UP. Labs is a venture lab that focuses on investing in and developing technologies that enhance the movement of people and goods. With a mission to make transportation cleaner, faster, safer, and more efficient, they collaborate with entrepreneurs and corporations to transform various modes of transport, including ground, aerial, maritime, and space vehicles. UP. Labs also leverages artificial intelligence for innovative solutions in schedule planning and logistics, working towards a sustainable future in the transportation industry.
📋 Description
• Lead and develop best practices for data identification, capturing, modeling, testing and deployment • Build mobile and web based data collectors, data processing pipelines and predictive ML models • Oversee and lead the data org; • Establish data science, engineering and advanced analytics as an organizational capability • Design, construct and manage the data architecture • Oversee data privacy and security protocols • Direct the application of machine learning • Hire, retain and mentor a world-class team
🎯 Requirements
• 8+ years experience within data engineering and/or science • 5+ years of experience leading, developing and scaling data teams • Success as a cross-functional people manager of an operationally complex, high-growth environment • Expertise in data storage, retrieval and data architecture • Leadership experience; preferably early-stage, venture backed growth companies in ML, computer vision, Recommendation Engine and AR • Experience working in hyper-growth start-up retail ventures • Extensive knowledge of data architecture, including data warehouses, data lakes and pipelines • Experience working with agile, lean and Continuous Delivery approaches • Experience building cloud native software architectures • High EQ and low ego • Exceptional collaboration, communication and leadership skills
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