Senior Data Scientist - Personalization & Recommender

GoTo Group

Singapore

Presencial

SGD 120.000 - 180.000

Jornada completa

14 días+

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Descripción de la vacante

GoTo Group’s GoPay team is seeking a Data Scientist to develop personalization and recommendation models that tailor offers and experiences for users. You will prototype, test, and deploy ML pipelines, using large-scale behavioral data to drive feature design and business impact.

You will collaborate with product and engineering to improve discovery, engagement, and conversions, leveraging LLMs/LLVMs in search or recommendation pipelines to boost matching accuracy.

Formación

  • 4–6 years of relevant experience in applied data science or ML roles.
  • Proficiency in Python and ML frameworks (Scikit-learn, TensorFlow, or PyTorch).
  • Strong ML fundamentals: supervised learning, ranking, embeddings, evaluation metrics.
  • Hands-on experience with recommender systems, personalization, search, or ranking models.

Responsabilidades

  • Collaborate with engineers, product managers, and analysts to build data science solutions that boost GoPay engagement and transactions.
  • Rapidly prototype DS solutions and contribute to product and feature discussions.
  • Analyze large datasets to generate actionable insights and business impact.
  • Own end‑to‑end solutioning from problem framing to deployment with engineers.

Conocimientos

Python
ML frameworks
Large-scale data processing
Recommender systems
A/B testing
Problem solving

Educación

Master's or Ph.D. in quantitative field

Herramientas

Spark
MaxCompute
LLMs integration

Descripción del empleo

GoTo Group’s GoPay team is seeking a Data Scientist to develop personalization and recommendation models that tailor offers and experiences for users. You will prototype, test, and deploy ML pipelines, using large-scale behavioral data to drive feature design and business impact.

You will collaborate with product and engineering to improve discovery, engagement, and conversions, leveraging LLMs/LLVMs in search or recommendation pipelines to boost matching accuracy.

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