Senior Data Scientist (Maternity cover)

Global-e; Dublin; On-site; EUR 90,000 - 120,000; Full time

Job summary

Global-e in Ireland is seeking a Senior Data Scientist to join our classification team. You will advance machine learning models for cross-border clearance and help build the world’s first, production-grade classification system.

You will develop LLMs, analyze data, collaborate with product and engineering, and translate insights into measurable business impact.

The role requires 5+ years in data science, strong ML fundamentals, NLP, and robust communication abilities to drive decisions with data.

Qualifications

• 5+ years of experience in data science solving real-world problems and building ML models.
• Experience with end-to-end data product lifecycle from ideation to productionization.
• Experience training, fine-tuning, and deploying LLMs and transformer architectures.
• Experience with NLP algorithms and their applications to taxonomy, recommendations, and search.

Responsibilities

• Research, design, maintain and evolve ML models for fast, accurate classification systems.
• Develop, fine-tune and deploy Large Language Models to improve classification accuracy and automation.
• Perform exploratory data analysis to identify trends and inform modeling approaches.
• Translate model outputs into short-term commercial impact and long-term business value.
• Collaborate with product and engineering leaders to influence decisions with data.

Skills

ML development

NLP

Python

Data visualization

Communication

Job description

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

Requirements:

• 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