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Senior Data Scientist - Data Payments

GoTo· FinTech - Data
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Hybrid (Singapore)PermanentPosted 3mo ago

About the role

Senior Data Scientist focused on personalization and recommendation models for GoPay users, applying advanced DS techniques and leading end-to-end ML pipelines in production to drive engagement and transactions within the GoTo ecosystem.

Responsibilities

  • Work as part of a cross-functional team of engineers, product managers and business analysts to build data science solutions that build customer engagement and help grow GoPay’s customer base and transactions.
  • Rapidly prototype data science solutions and be involved in product and feature discussions
  • Analyze large volume data and generate insights which will be actionable.
  • Own end-to-end solutioning, from formulating the technical problem to deployment (along with engineers) of the solution
  • Participate in internal and external conferences and workshops.
  • Design and implement algorithms for search, recommendation, or advertising systems to drive discovery and conversion across Goto products.
  • Build advanced user behaviour models and query/assortment understanding models using LLMs and LLVMs to improve matching accuracy between users, queries, and items across search and recommendation systems.
  • Collaborate with product, engineering, and business-facing data science teams to define problems, run experiments, and deploy solutions at scale.

Qualifications

  • 4–6 years of relevant experience in applied data science or machine learning roles.
  • Proficiency in Python, and familiarity with ML frameworks such as Scikit-learn, TensorFlow, or PyTorch.
  • Solid understanding of ML fundamentals including supervised learning, ranking, embeddings, and evaluation metrics.
  • Hands-on experience in recommender systems, personalization, search, or ranking models is strongly preferred.
  • Experience working with large-scale datasets using platforms such as Spark, MaxCompute (MC), or other distributed data environments.
  • Strong analytical and problem-solving skills, with the ability to translate complex data insights into actionable recommendations.
  • Good communication skills to engage with cross-functional partners and present results clearly.
  • Master’s or Ph.D. in a quantitative discipline is a plus.
  • Hands-on experience with search/recommendation/ads systems, with proven improvements to ranking, retrieval, or ad targeting models.
  • Familiarity with LLMs and/or LLVMs, with experience integrating them into search or recommendation pipelines is a strong plus.
  • Demonstrated ability to innovate with new algorithms or tools and drive measurable impact, especially using LLMs and LLVMs in search/recommendation modeling.
  • Strong product intuition and ability to reason from user behavior data and traffic patterns.
  • Good communication skills in English, both written and verbal.
  • Self-motivated, curious, and excited by the opportunity to build high-impact systems quickly.

Skills

Required:PythonML frameworks (Scikit-learn, TensorFlow, PyTorch)Machine learning fundamentalsRecommender systems / personalizationDistributed data processing (Spark, MaxCompute)Communication
Nice to have:LLMs/LLVMs in search/recommendation

Benefits

  • Hybrid work arrangement in Singapore (hybrid)
Last updated Oct 21, 2026. Interested? Apply on the company site.
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About GoTo

Go Together, Go Far

Kami adalah perusahaan teknologi nomor 1 di Indonesia. GoTo berdedikasi untuk menciptakan dampak sosial berskala besar di manapun kami beroperasi.

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