Data Scientist
OCBC Indonesia · BANTEN, Indonesia
Sekilas tentang pekerjaan ini
OCBC Indonesia mencari Data Scientist untuk menerapkan machine learning dan mendorong pengambilan keputusan berbasis data di bidang keuangan. Posisi ini berlokasi di Banten, Indonesia; tingkat pengalaman tidak disebutkan.
Tugas utama
- Mengembangkan, menerapkan, dan memelihara model ML untuk tantangan keuangan.
- Membersihkan, menganalisis, dan menafsirkan dataset besar.
- Berkolaborasi dengan unit bisnis untuk merancang solusi data.
- Menyampaikan temuan kepada audiens teknis dan nonteknis.
- Mendukung pengambilan keputusan berbasis data di organisasi keuangan.
Kualifikasi utama
- Memahami algoritma dan struktur data dasar.
- Menguasai konsep dasar machine learning, seperti regresi, klasifikasi, dan clustering.
- Berpengalaman menggunakan Python dan R.
- Memiliki dasar statistik dan probabilitas yang kuat.
- Memiliki keterampilan komunikasi, kolaborasi, dan kemandirian yang baik.
Ringkasan ini dibuat dengan AI dari deskripsi di bawah. Yang berlaku adalah deskripsi lengkapnya di situs OCBC Indonesia.
Deskripsi pekerjaan
Data Scientist
Do you have a passion for uncovering insights from data and applying machine learning (ML) to solve problems in the dynamic world of finance?
We are seeking a highly motivated and independent Data Scientist to join our growing team!
In this role, you will
- Play a key role in driving data-driven decision making across the financial organization.
- Develop, implement, and maintain ML models to solve complex financial challenges.
- Work collaboratively with stakeholders across various business units to understand their needs and translate them into actionable data solutions.
- Clean, analyze, and interpret large datasets to identify trends and patterns.
- Communicate complex findings in a clear and concise manner to both technical and non-technical audiences.
- Stay up-to-date on the latest advancements in ML and financial technology (FinTech).
Qualifications
- A strong understanding of fundamental algorithms and data structures (e.g., sorting, searching, trees, graphs).
- Proficiency in applying basic machine learning concepts (e.g., regression, classification, clustering).
- Experience working with programming languages like Python and R.
- Solid foundation in statistics and probability.
- Excellent communication and collaboration skills.
- A passion for learning and staying informed about the latest trends in data science and finance.
- A high degree of autonomy and the ability to manage multiple tasks simultaneously.
Bonus points if you have
- Experience with financial data and regulations.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
- Experience developing and deploying ML models in production environments.