Deskripsi pekerjaan
The team leverages big data from the GoTo ecosystem and external sources to build predictive models that support risk strategy for Cicil (BNPL) and Pinjam (cash loans) products. As a Senior Data Scientist, you will take ownership of the machine learning lifecycle, from conceptualization to deployment and monitoring, directly influencing key business metrics and bottom-line results. You will lead the development of advanced consumer credit risk models, applying rigorous statistical analysis and ML techniques to optimize lending decisions. Acting as a strategic bridge between data and business, you will collaborate with cross-functional teams to translate complex business challenges into scalable, production-ready solutions. You will also champion technical excellence by setting standards for model evaluation and documentation, and by distilling complex concepts for non-technical leadership.
Tanggung jawab: Conceptualize, build, deploy, and monitor data models.; Lead the development of advanced consumer credit risk models.; Apply statistical analysis and ML techniques to optimize lending decisions.; Collaborate with cross-functional teams to translate business challenges into data science solutions.; Advocate for data science best practices and clear documentation.; Present technical concepts to non-technical leadership..
Kualifikasi: Bachelor degree or above in science and engineering related majors (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; Good communication skills and ability to present technical concepts to a non-technical audience; Able to write model documentation clearly and concisely.
Tanggung jawab
- Conceptualize, build, deploy, and monitor data models.
- Lead the development of advanced consumer credit risk models.
- Apply statistical analysis and ML techniques to optimize lending decisions.
- Collaborate with cross-functional teams to translate business challenges into data science solutions.
- Advocate for data science best practices and clear documentation.
- Present technical concepts to non-technical leadership.
Kualifikasi
- Bachelor degree or above in science and engineering related majors (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
- Good communication skills and ability to present technical concepts to a non-technical audience
- Able to write model documentation clearly and concisely
Informasi lowongan
- Tipe pekerjaan
- Full-time
- Pendidikan
- S1
- Gaji
- Negosiasi