Senior Data Scientist - Personalization & Recommendations

Gotogroup

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+
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Job summary

GoTo Group's GoPay Data Science team seeks a data scientist to develop and optimize personalization models that improve user experiences and engagement. You will prototype, test, and deploy ML solutions, collaborating with product and engineering on end-to-end pipelines.

The role emphasizes strong Python skills, ML framework proficiency, and experience with large-scale data and advanced recommender or search systems. English communication is essential.

Qualifications

  • 4–6 years of relevant experience in applied data science or ML roles.
  • Proficiency in Python and familiarity with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch.
  • Hands-on experience with search, recommendation, or ads systems is preferred.
  • Experience with large-scale datasets using distributed environments like Spark or similar.

Responsibilities

  • Develop and optimize personalization and recommendation models to deliver relevant offers, merchants, and experiences.
  • Prototype rapidly, run A/B tests, and analyze metrics to evaluate model performance and impact.
  • Collaborate with product and engineering teams to design, test, and deploy end-to-end ML pipelines.
  • Own end-to-end solutioning from problem formulation to deployment with engineers.

Skills

Python
ML frameworks
4–6 years
Recommender systems
Large-scale datasets
English communication

Education

Master's or Ph.D. in quantitative field

Tools

Scikit-learn
TensorFlow
PyTorch
Spark
MaxCompute

Job description

GoTo Group's GoPay Data Science team seeks a data scientist to develop and optimize personalization models that improve user experiences and engagement. You will prototype, test, and deploy ML solutions, collaborating with product and engineering on end-to-end pipelines.

The role emphasizes strong Python skills, ML framework proficiency, and experience with large-scale data and advanced recommender or search systems. English communication is essential.

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