Head of Data

Job not on LinkedIn

🕒 March 31

🏄 California – Remote

🏄 California – Remote

⏰ Full Time

🔴 Lead

📊 Data Scientist

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UP.Labs

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

Transportation • Artificial Intelligence • Logistics

UP. Labs is a venture lab focused on investing and building technologies that enhance transportation across various modalities, including ground, air, sea, and space. The company aims to revolutionize the way people and goods move by partnering with innovative entrepreneurs and major corporations. With a mission to transform the moving world, UP. Labs utilizes advanced technologies, including AI, to improve decision-making and operational efficiency in transportation and logistics.

📋 Description

• Lead and develop best practices for data identification, modeling, testing, and deployment • Build mobile and web-based data collectors, data processing pipelines, and predictive ML models • Oversee and lead the data organization with a hands-on approach to building processes & playbooks • Recruit your team, setting goals, aligning strategies, and managing expectations • Establish data science, engineering, and advanced analytics as organizational capabilities • Design, construct, and manage data architecture (data warehouses, data lakes, data pipelines) • Oversee data privacy and security protocols to ensure compliance • Direct the application of machine learning, particularly computer vision, to product offerings • Hire, retain, and mentor a diverse, world-class team; enhance employee performance via evaluation and coaching

🎯 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 in a high-growth environment • Expertise in data storage, retrieval, and data architecture • Experience in ML, computer vision, Recommendation Engine, AR • Leadership experience in early-stage, venture-backed growth companies • Extensive knowledge of data architecture (data warehouses, data lakes, pipelines) • Experience with agile, lean, Continuous Delivery approaches (Continuous Integration, TDD, Infrastructure as Code) • Experience building cloud native software architectures • High EQ and low ego; ability to recruit and retain talent and develop a values-oriented culture • Exceptional collaboration, communication, and leadership skills

🏖️ Benefits

• Access to the UP.Partners ecosystem • Expansive team across various domains available for advice & scaling