Senior Data Scientist - Lending
GoTo Group · Jakarta
Sekilas tentang pekerjaan ini
Senior Data Scientist - Lending di GoTo Group akan membangun dan memantau model risiko kredit untuk produk pinjaman konsumen dan merchant GoPay di Indonesia. Posisi ini berbasis di Jakarta dan ditujukan bagi kandidat dengan pengalaman langsung minimal 3 tahun dalam model risiko kredit.
Tugas utama
- Membangun, mengevaluasi, menerapkan, dan memantau model machine learning.
- Mengembangkan model risiko kredit konsumen untuk mengoptimalkan keputusan pinjaman.
- Berkolaborasi dengan tim lintas fungsi menerjemahkan tantangan bisnis menjadi solusi data science.
- Menetapkan praktik evaluasi model, dokumentasi, dan penyampaian wawasan teknis.
Kualifikasi utama
- Minimal S1 bidang sains atau teknik terkait.
- Minimal 3 tahun pengalaman membangun, mengevaluasi, dan memantau model risiko kredit.
- Memahami teknik dan algoritma machine learning.
- Mampu menggunakan Python, SQL, dan UNIX Shell.
- Mampu menerjemahkan kebutuhan bisnis menjadi masalah teknis berbasis data dan matematika/statistik/ML.
Ringkasan ini dibuat dengan AI dari deskripsi di bawah. Yang berlaku adalah deskripsi lengkapnya di situs GoTo Group.
Deskripsi pekerjaan
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
- Drive End-to-End Impact: Take complete ownership of the machine learning lifecycle. You will conceptualize, build, deploy, and monitor data models that directly influence key business metrics and bottom-line results.
- Innovate Credit Risk Strategy: Lead the development of advanced consumer credit risk models. Apply rigorous statistical analysis and ML techniques to optimize lending decisions, balance risk, and fuel sustainable business growth.
- Partner with Product & Business: Act as a strategic bridge between data and business strategy. Collaborate closely with cross-functional teams to translate ambiguous business challenges into scalable, production-ready data science solutions.
- Champion Technical Excellence: Set the standard for robust model evaluation and clear documentation. You will advocate for data science best practices and distill complex technical concepts into actionable insights for non-technical leadership.
What You Will Need
- Bachelor degree or above in science and engineering related majors such as statistics, mathematics, physics, computer science, etc.
- At least 3 years of hands-on experience in building, evaluating, and monitoring credit 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.