Data Science Lead, Restaurants

Are you looking for an opportunity to leverage your data science expertise and make an impact on the restaurant industry? Square is the perfect place for you! We are looking for a Data Science Lead, Restaurants to join our team and drive the development of data-driven strategies and solutions to improve our products and services.We are looking for a passionate and experienced data scientist, who can lead a team to develop and execute data-driven solutions to drive value to our restaurant customers. To be successful, the ideal candidate should have solid experience in data science, including machine learning, predictive analytics and data mining, as well as strong project management skills to lead a team. If you thrive in a fast-paced environment and have a passion for developing data-driven solutions that make a difference, this position is for you!

According to JobzMall, the average salary range for a Data Science Lead, Restaurants is $118,000-$143,000. This range can vary depending on a variety of factors such as the size of the company, the location, and the individual's experience and qualifications.

Square builds common business tools in unconventional ways so more people can start, run, and grow their businesses. When Square started, it was difficult and expensive (or just plain impossible) for some businesses to take credit cards. Square made credit card payments possible for all by turning a mobile phone into a credit card reader. Since then Square has been building an entire business toolkit of both hardware and software products including Square Capital, Square Terminal, Square Payroll, and more. We’re working to find new and better ways to help businesses succeed on their own terms—and we’re looking for people like you to help shape tomorrow at Square.

Founded in 2009 and headquartered in San Francisco, Square is currently available in the United States, Canada, Australia, UK, Japan, Ireland, France, and Spain. Square offices are located in San Francisco, Oakland, Seattle, New York, Atlanta, St. Louis, Scottsdale, Dublin, London, Toronto, Melbourne, and Tokyo.