Senior Data Scientist — ML & LLMs for Fast Cross-Border

Global-e Online Ltd.

Dublin

On-site

EUR 110,000 - 140,000

Full time

3 days ago
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Job summary

Global-e Online Ltd. is seeking a Senior Data Scientist to drive the world’s first machine learning–based, highly accurate classification system for cross-border trade.

You will design and deploy ML models and LLMs, work with NLP techniques, and translate data into strategic decisions that improve product and customer experience. Role requires 5+ years in data science, end-to-end ML lifecycle experience, and strong coding and mathematical foundations.

Qualifications

  • 5+ years of data science experience solving real-world problems.
  • Experience with end-to-end data product lifecycle from ideation to production.
  • Experience training, fine-tuning, and deploying LLMs.
  • Experience with NLP algorithms and taxonomy/recommendation/search domains.
  • Strong programming skills and mathematical foundations for ML.
  • Experience with transformer architectures (BERT, GPT) for classification.

Responsibilities

  • Research, design, maintain ML models for fast, accurate classification.
  • Develop and deploy LLMs to enhance accuracy and automation.
  • Explore data to identify trends and model approaches.
  • Use model outputs to deliver commercial impact and customer value.
  • Collaborate with product and engineering to inform decisions with data.
  • Document insights for stakeholders to drive actions.
  • Continuously evaluate and improve model performance.

Skills

Data science
ML models
NLP
Transformer architectures
Communication

Tools

Python
TensorFlow
PyTorch
LLMs

Job description

Global-e Online Ltd. is seeking a Senior Data Scientist to drive the world’s first machine learning–based, highly accurate classification system for cross-border trade.

You will design and deploy ML models and LLMs, work with NLP techniques, and translate data into strategic decisions that improve product and customer experience. Role requires 5+ years in data science, end-to-end ML lifecycle experience, and strong coding and mathematical foundations.

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