The Data Science and Machine Learning team at Fair is part of the Engineering organization and oversees risk, vehicle valuation, and personalization efforts. We usually run a few steps ahead of other engineering team and work with product leads frequently where DS techniques can be used to improve our product and customer experience.
You will report to the Data Science Manager and your role will involve the development of pipelines and backend services that host machine learning models for all projects. You will model application R&D and support backend engineering teams with service integrations and analytics teams for goal analysis.
It's Fair's policy to provide equal opportunity in employment to all employees and applicants for employment. No person will be discriminated against in employment because of race, color, religion, gender, gender expression, gender identity, sex, medical condition (as defined by California law and which includes pregnancy or childbirth), national origin, age, physical or mental disability, political activity or affiliation, ancestry, marital status, protected veteran status, citizenship status, sexual orientation, genetic information, taking or requesting statutorily protected leave, or any other legally protected status where there is no bona fide occupational qualification or legitimate business reason for the differing treatment. In addition, Fair prohibits harassment on any of the bases listed above or any other characteristics protected under federal, state or local laws.