Data Scientist GenAI

Role Overview

You’ll join our Data Science team, where your main mission will be to prototype, iterate, and ship algorithms to production in close collaboration with Product, Data Engineering, and Software teams. Your projects will focus on Marketplace catalog challenges, including NLP, Computer Vision, and large‑scale Generative AI (custom LLMs). The topics you’ll tackle will have a real impact on our customers: we aim to make the most of our rich, diverse data to grow their revenue, streamline marketplace operations, and ensure user and transaction safety.

Remote Setup

4 days worked from our offices per week, 1 day worked remotely per week.

Catalog Topics

• Automatic rewriting of marketing content based on business needs
• Extracting product attributes from images and free text
• Detecting product variants
• Product categorization
• Automated onboarding of sellers’ products
• Merging product pages from multiple sources
• Predicting trending products

What’s in it for you

• Build algorithms that visibly impact 500+ e‑commerce/marketplace sites in 40 countries, including some with very high volumes (millions of products, customers and orders per year)
• Work with cutting‑edge techniques (multimodal models, LLM fine‑tuning, etc.)
• Real autonomy and ownership over your projects

Day‑to‑Day Responsibilities

• Analyze and prepare data, prototype algorithms
• Deploy them into production with Data Engineers and software teams
• Build dashboards to demonstrate algorithm performance and monitor production
• Present results at the weekly data science meeting and participate in team brainstorms
• Partner with other teams to refine use cases, user experience, and integration paths

Qualifications & Experience

• At least 4 years’ experience as a Data Scientist, with strong hands‑on NLP and applied ML in industry
• Experience deploying Machine Learning algorithms to production
• Knowledge of NLP and Computer Vision algorithms and state‑of‑the‑art architectures (e.g., Transformers); knowledge of the latest LLMs is a plus
• Fluent in Python and TensorFlow and/or PyTorch; experience with Spark development
• Pragmatic, data‑driven, and business‑oriented
• Full ownership of projects, autonomous work and strong team‑playing
• Positive mindset: respect and kindness core to your values
• Enjoy sharing work through talks, conferences or writing