jobber
The Staff Data Scientist, Applied Machine Learning will own models and systems for automated decisioning, training and evaluating models using techniques like graph representation learning and transformer architectures. This senior individual contributor role involves designing, building, and evaluating retrieval-augmented generation systems while establishing systematic evaluation standards for the team. The position requires partnering with senior leadership to drive business outcomes and translate AI/ML developments into shipped capabilities.
Jobber is a cloud-based operations platform designed for home service businesses, offering tools to manage quotes, scheduling, client communications, invoicing, and payments from a single place. It includes a CRM, job pipelines, and mobile apps for field teams, enabling streamlined workflows and better customer experiences. The platform serves service industries such as cleaning, landscaping, HVAC, plumbing, electrical, and other home services, helping small businesses scale. Founded to help service providers professionalize operations, Jobber is used by thousands of businesses worldwide to grow and run more efficiently.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for jobber.
14% below the average for this role