The Data Science team at RetailMeNot work on initiatives that enable us to provide users meaningful content at the right place, right time, and right price. We build, test and iterate on Machine Learning models, learning from and leveraging datasets with millions of daily visits. We are looking for software engineers who are not afraid of learning new technologies, have an itch or have been playing around with Machine Learning, and are ready to apply it to solve real and meaningful business problems.
As part of the Data Science team you will work together with software engineers, data scientists and data engineers leveraging the latest technology and bringing new ideas to the table and building the world’s largest savings destination. Our teams challenge each other to have fun while connecting shoppers to the brands they love. Some of the technologies that we use today include AWS (EMR), Spark, Docker, Luigi.
This team is integral to the RetailMeNot business, so we need engineers... who can deliver results while understanding the structure of a large system. We provide cross-team leadership that ensures that RetailMeNot code meets a consistently high standard while building the platform to support the future of the company. Your daily activities will involve oversight, mentoring, delivering key pieces of functionality, and collaborating with technology leadership to plan the technical roadmap for RMN.
We are constantly evolving both the software and the teams that deliver it. If you’re someone who enjoys taking on new challenges, working in a rapidly changing environment, learning new skills, and applying it all to solve large and impactful business problems, then we want you to be a part of the team!
RetailMeNot is headquartered in Austin, TX! This position is fully remote and we encourage applicants nationwide!
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