Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your
ABOUT THIS POSITION The Information Technology function is responsible for managing and overseeing the technology infrastructure that that supports the organization’s operations. This includes the maintenance of hardware, software, networks, databases, and communication systems; ensuring that
Our work and focus on helping local businesses thrive has been recognized across the industry, including Forbes’ Next Billion Dollar Startups, Forbes’ Cloud 100, the Inc. 5000, and Fast Company’s World’s Most Innovative Companies. At Podium,
Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your
About This Position The Information Technology function is responsible for managing and overseeing the technology infrastructure that supports the organization’s operations. This includes the maintenance of hardware, software, networks, databases, and communication systems; ensuring that these
About this Position The Information Technology function is responsible for managing and overseeing the technology infrastructure that supports the organization’s operations. This includes the maintenance of hardware, software, networks, databases, and communication systems; ensuring that these
Our work and focus on helping local businesses thrive has been recognized across the industry, including Forbes’ Next Billion Dollar Startups, Forbes’ Cloud 100, the Inc. 5000, and Fast Company’s World’s Most Innovative Companies. At Podium,
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side