חדש באתר! העלו קורות חיים אנונימיים לאתר ואפשרו למעסיקים לפנות אליכם!
ABOUT US
ODDITY is a consumer-tech company which builds and scales digital-first brands to disrupt offline-dominated categories.
With HQ in New York City and an R&D center in Tel Aviv, we built one of the industry’s most advanced technology platforms, which leverages data science, machine learning and computer vision capabilities to deliver an unparalleled online experience for consumers. We are using cutting-edge data science to identify consumer needs and develop solutions in the form of tech and wellness products.
In less than 5 years since launch, we have built two of the fastest-growing online beauty brands in the US-IL MAKIAGE and SpoiledChild. Our first brand IL MAKIAGE has since grown to unprecedented scale online, reaching over $300 million in revenue and 40 million users in only 4 years. ODDITY New Ventures built and launched our second brand SpoiledChild in early 2022, and it is already scaling even faster than IL MAKIAGE. As of 2023, ODDITY is officially a publicly traded company valued at >$2B and we were named a TIME100 Most Influential Company.
Our continued success is a result of our winning mindset combined with unparalleled physical & tech products. We have made significant investments in data science, AI, computer vision, and biotechnology to identify consumer needs and develop solutions designed for consumers. Our proprietary computer vision technology allows smartphone cameras to capture hyperspectral wavelengths of light beyond the capability of the human eye. In 2023, ODDITY acquired Revela - a biotech start-up that uses AI-based molecule discovery to bring next-generation, proprietary ingredients to the beauty & wellness market.
THE OPPORTUNITY
We are seeking a bright and curious data-minded individuals to join our Data Science team. Data is core to our growing business, and our Data Science team is the engine that powers our data-driven culture. As a Data Scientist you will play a vital role, designing & building solutions for our most challenging business problems and your models will be serving and affecting millions of users worldwide. The ideal candidate will have a strong background working with data, experience applying machine learning and deep learning techniques to real-world problems, and a natural curiosity and desire to experiment, evaluate and solve problems as part of a fast-paced and growing, product-driven technology team.
WHAT YOU’LL DO
WHO YOU ARE
LOCATION