Global-e (Nasdaq: GLBE) is the world’s leading platform for global direct-to-consumer e-commerce, enabling brands and retailers to seamlessly sell worldwide, delivering localized experiences across markets.
Trusted by some of the world’s most recognized brands including Adidas, Alo Yoga, Logitech, Hugo Boss, Marc Jacobs, and Victoria’s Secret, we operate on a massive global scale through dynamic teams across North America, EMEA, and APAC.
Our technology-based end-to-end solution combines advanced localization capabilities, streamlined global operations and extensive big-data analytics, covering everything merchants need to scale worldwide. We’re a fast-moving, highly collaborative company where innovation, creativity, ownership, and impact are part of everyday work.
We are looking for a Senior Data Scientist to join our classification team. A critical component to enabling cross-border is delivering seamless clearance through customs. This is also an incredibly challenging problem where Global-e has radically changed the industry by delivering the world's first machine learning-based, highly accurate classification system that replaces the need for people to inspect and classify individual products. This capability enables our clients to ship goods from anywhere in the world to anywhere in the world directly from their stores and fulfillment centers, keeping customers happy with fast and seamless delivery.
Main Responsibilities:
- Research, design, maintain, and evolve the company's machine learning models to support the world’s fastest and most accurate classification and restriction systems for cross-border trade.
- Develop, fine-tune, and deploy Large Language Models (LLMs) to enhance classification accuracy and automation capabilities.
- Engage in both exploratory data analysis to identify trends and formulate modeling approaches to solve problems
- Use model outputs to deliver both short-term commercial impact and longer-term business value and customer experience
- Partner closely with product, engineering and other business leaders by providing consulting and analytic services that help influence product decisions with data
- Document clear insights and analysis for stakeholders to understand and take actions accordingly
- Continuously evaluate model performance and drive iterative improvements to enhance accuracy and effectiveness
- Help cultivate a culture of experimentation through sharing of best practices and trainings
- At least 5 years of experience in data science, solving real-world problems, and using modern technologies to develop ML models.
- Experience with the full lifecycle of a data product - ideation to productionizing and iterating.
- Experience with training, fine-tuning, and deploying LLMs, as well as applying state-of-the-art architectures to domain-specific challenges.
- Experience with NLP algorithms and approaches and their applications to taxonomies, recommendations, and search domains.
- Solid programming skills to code, build, and test models.
- Knowledge of and appetite for mathematical principles that are the foundation of ML methods.
- Familiarity with transformer-based architectures (e.g., BERT, GPT) and their application to classification and predictive modeling.
- Experience in optimizing and scaling deep learning models for real-world deployment in production environments.
- Strong data visualisation skills
- Excellent communication skills, both written and verbal; the ability to convey your message to team members and other stakeholders
Skills Required
- At least 5 years of experience in data science and developing machine learning models for real-world problems.
- Experience with the full data product lifecycle, from ideation through productionization and iteration.
- Experience training, fine-tuning, and deploying large language models.
- Experience applying state-of-the-art architectures to domain-specific challenges.
- Experience with NLP algorithms and applications in taxonomies, recommendations, and search.
- Solid programming skills for coding, building, and testing models.
- Knowledge of mathematical principles underlying machine learning methods.
- Familiarity with transformer-based architectures such as BERT and GPT.
- Experience optimizing and scaling deep learning models for production deployment.
- Strong data visualization skills.
- Excellent written and verbal communication skills.
What We Do
Global-e (Nasdaq: GLBE) is the world’s leading platform to enable and accelerate global, direct-to-consumer cross-border e-commerce growth. The chosen partner of hundreds of retailers and brands across the United States, Europe and Asia, Global-e makes selling internationally as simple as selling domestically. With Global-e, retailers and brands can increase international traffic conversion and grow sales by offering customers in over 200 destinations worldwide a seamless localised shopping experience. Our end-to-end e-commerce solutions combine best-in-class localisation capabilities, big-data best-practice business intelligence models, streamlined international logistics and vast cross-border experience, enabling online retailers to sell to and from anywhere in the world and seamlessly expand their brand worldwide. Operating from ten offices worldwide, our people play the key role in our success, and we are always looking for more driven, talented and ambitious individuals to join our growing international family. Check out our open positions at https://www.global-e.com/careers/
