ODDITY

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.

ABOUT THE ROLE

We are seeking bright and curious data-minded individuals to join our Data team. Data is a core to our growing business and our Data team is the engine that powers our data-driven culture. As a Data Engineer, you will play a vital role in designing & building solutions for our most challenging business problems.

KEY RESPONSIBILITIES

• Help design and implement data collection strategy to ensure we know as much as possible about user experience and needs
• Design, build, and maintain ETL and ELT pipelines
• Develop and optimize data processing pipelines using AWS Glue
• Build robust data transformations using Python and SQL
• Support BI use cases and verify data availability for reporting in Looker
• Work hand-in-hand with engineers and product leaders to implement your solutions quickly and effectively
• Constantly measure, analyze, and produce insights and visibility on performance to keep improving user satisfaction with our products and store
• Work with growth, marketing, product, support, and management to better understand where data can be useful and ‘move the needle’
• Support upper management in tasks that will bolster user satisfaction, product recommendations, or strategy.

REQUIRED SKILLS & EXPERIENCE

• B.S.c in a highly quantitative field such as Computer Science/Mathematics / Physics/Industrial Engineering or equivalent academic knowledge
• 1+ years of programming experience
• High proficiency in Python and SQL
• Strong outstanding analytical & technical skills
• Able to quickly learn new tools and data analysis methods
• A self-learner, not afraid to explore new areas of research
• A team player and a can-do attitude, delivery oriented
• Excellent spoken and written English.

NICE TO HAVE (BIG ADVANTAGE)

• Experience working directly with marketing / product analytics teams
• Experience with AWS data services, especially AWS Glue, AWS MWAA (Airflow) or Amazon Redshift
• Familiarity with BI tools, preferably Looker
• Experience working in agile environments using Jira