Data Science

📋 Description

• Develop and refine forecasting models for budget planning and advertiser spend, using time-series
• Build and improve retrieval models that select which products are candidates to be shown for each
• Develop and iterate on rankers and re-rankers that combine relevance, CTR/CVR predictions and
• Improve how we represent queries and products, including multilingual catalogs, sparse or noisy
• Explore large datasets to identify trends, assess data quality, and uncover opportunities to
• Ship models into our ad engine and serving stack, and build the training and evaluation pipelines

🎯 Requirements

• 5+ years of experience in data science, with a strong focus on forecasting.
• A Ph.D. in Data Science, Statistics, Mathematics, or a related quantitative field.
• Direct experience building search, recommendation or ads ranking systems in production.
• Hands-on experience with PyTorch or similar, including training embedding-based retrieval or
• Strong Python and SQL; comfortable building datasets from raw event logs at scale.
• Solid statistics fundamentals and experience designing and reading A/B tests.

🎁 Benefits

• Work directly alongside co-founders and founding members to bring on Retail Media 3.0.
• Fast-paced, collaborative, and globally diverse team environment.
• Opportunity to make a lasting impact on the Retail Media industry.
• Potential for rapid career growth as the company scales from 100 to 200 employees.
• High bar on infrastructure and innovation.