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Salary
≈ $20k – $45k per year (Estimated)
Location
In office (Jakarta)
Seniority
Staff · 6+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Jul 1, 2026. GoTo Group scores A on the Alion truth index.

Overview
Company
Impact
Profile match
GoTo (PT GoTo Gojek Tokopedia Tbk) is Indonesia's largest digital ecosystem, formed in 2021 through the historic merger of ride-hailing pioneer Gojek and e-commerce giant Tokopedia. Headquartered in Jakarta and listed on the Indonesia Stock Exchange (IDX: GOTO), GoTo integrates three primary digital business pillars across Southeast Asia.

About the Role

In this role, you will be an integral player within Data Science team based on Jakarta. You will take the wheel in building, evaluating, and monitoring credit risk models for a variety of consumer and merchant lending products GoPay offers in Indonesia. Your responsibilities will include enhancing our credit risk models by leveraging innovative and cutting-edge algorithms on GoTo data and third-party data vendors. Most importantly, your efforts will work to bring wider financial inclusion to more people in the region and beyond.

What You Will Do

  • Own end-to-end modeling modeling initiatives and business outcomes / metrics.

  • Work with the business/product team in defining, prototyping, and implementing data science models and other supporting DS initiatives.

  • Recruit, mentor, and develop a high-performing data science team, fostering a culture of collaboration and innovation.

  • Oversee the development of consumer credit risk models and statistical analyses to optimize decision-making and business outcomes.

What You Will Need

  • Bachelor degree or above in science and engineering related majors such as statistics, mathematics, physics, computer science, etc.

  • At least 6-7 years of hands-on experience in building, evaluating, and monitoring risk models.

  • Excellent understanding of machine learning techniques and algorithms.

  • Comfortable using Python, SQL, and UNIX Shell.

  • Understand business concerns and formulate them as technical problems that can be solved using data and math/stats/ML.

  • Self-driven and entrepreneurial with a strong sense of ownership, and thrive in a fast-paced environment.

  • Good communication skills and ability to present technical concepts to a non-technical audience.

  • Able to write model documentation clearly and concisely and support recommendations with research and data.

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