Senior Data Scientist - Personalization & Recommendations

Gotogroup; Jakarta Pusat; On-site; IDR 420,000,000 - 700,000,000; Full time

Job summary

GoPay Data Science team at GoTo Group is seeking an experienced data scientist to build and optimize personalization and recommendation models that improve GoPay user engagement and discovery across GoTo products.

You will prototype end-to-end ML pipelines, test with A/B experiments, and collaborate with product and engineering teams to deploy scalable solutions that impact CTR, conversion, and overall business outcomes.

Qualifications

• 4–6 years of applied data science or ML experience.
• Proficiency in Python and ML frameworks (Scikit-learn/TensorFlow/PyTorch).
• Experience with recommender systems, personalization, search or ranking models.
• Experience with large-scale datasets and distributed environments (e.g., Spark).

Responsibilities

• Collaborate with cross-functional teams to build data science solutions that engage customers and grow GoPay transactions.
• Rapidly prototype DS solutions and contribute to product discussions.
• Analyze large data volumes to generate actionable insights.
• Own end-to-end deployment of solutions with engineers.
• Present results at internal/external forums and workshops.
• Design algorithms for search, recommendation, or ads systems to improve discovery and conversion.

Skills

Python

ML Frameworks

Recommender Systems

Spark/Big Data

Communication Skills

English Proficiency

LLMs/LLVMs

Self-motivated

Education

MS/PhD preferred

Quantitative field

Tools

Scikit-learn

TensorFlow

PyTorch

Spark

Job description

GoPay Data Science team at GoTo Group is seeking an experienced data scientist to build and optimize personalization and recommendation models that improve GoPay user engagement and discovery across GoTo products.

You will prototype end-to-end ML pipelines, test with A/B experiments, and collaborate with product and engineering teams to deploy scalable solutions that impact CTR, conversion, and overall business outcomes.