We are a high-growth startup backed by one of America’s top furniture retailers. We are looking for a Data Scientist who will help to shape and implement data strategies to ensure the company stays on the leading edge of technology and delivers solutions for consumers and partners. You will contribute across the whole organization, from marketing, sales, to product, and help to build solid relationships with our customers.
We are very passionate about our product and are proud of our team, so being a dynamic team player, a creative thinker who has fun tackling complex problems at scale, and a strong relationship builder who thrives in a fast-paced environment are characteristics we want to see in any potential employee.
Responsibilities
Minimal Qualifications
We offer a competitive salary + bonus + benefits. The salary will depend on the seniority level, expertise, and performance during the interview process.
About the Company
The company is a high-growth consumer tech venture addressing fundamental challenges in the $200B US furniture space. The company is a B2B and B2C digital aggregator with a simple mission: to connect furniture customers with the products they desire. For consumers, we make it easy to find the right furniture by enhancing search and streamlining their end-to-end customer experience. For retail partners, we deliver a digital platform allowing them to expand their reach with a high-intent furniture audience. The site experience and discovery tools will differentiate us. The site design and content will drive brand recognition and loyalty allowing us to capitalize on this market.
We are backed by a top-5 furniture retailer in the US. The business is unique in that it will
operate with the agility and innovation of a startup, yet with the robust resources and industry knowledge set of an established brand.
The company is an equal opportunity employer. We do not discriminate in hiring or employment against any individual on the basis of race, color, gender, national origin, ancestry, religion, physical or mental disability, age, veteran status, sexual orientation, gender identity or expression, marital status, pregnancy, citizenship, or any other factor protected by anti-discrimination laws.
Applicants must be authorized to work in the U.S.