Lowongan Kerja Senior Data Scientist Kredivo Group Terbaru di Jakarta

Info Terbaru Lowongan Kerja Senior Data Scientist Jakarta November 2026 di Kredivo Group. Selamat Pagi bagi sahabat yang sedang mencari pekerjaan. Semoga tidak path arang untuk mencari pekerjaan yang cocok dengan minat Anda. Memang kadangkala mencari pekerjaan yang cocok sangatlah susah di tahun 2026 ini. Pada kesempatan ini admin akan memberikan info Lowongan Kerja Senior Data Scientist Jakarta November 2026 di Kredivo Group. Berikut ini informasi lebih detail mengenai Lowongan Kerja Senior Data Scientist Jakarta November 2026 Kredivo Group.

Lowongan Kerja Senior Data Scientist Jakarta November 2026 Kredivo Group

Berikut ini adalah kualifikasi yang harus Anda penuhi untuk mendaftar Lowongan Kerja Senior Data Scientist Jakarta November 2026 Kredivo Group yang dibuka pada 1 September 2026 ini:

As a Data Scientist you'll be part of a team that is working on cutting edge machine learning models. You will work side by side with Analysts and Machine Learning Engineers and take full ownership of your work – from the initial idea-generation phase to the implementation of the final product. Our ideal candidate is result-focused, innovative, has a solid quantitative background and a good business understanding.

About the role:

• Working in a multi-disciplined team across different countries. Take full ownership of turning discoveries and ideas into machine learning models.
• Prototyping diverse machine learning models, from credit risk to growth related models.
• Researching & Development on how to improve our models, by using our vast amount and unique set of data.
• Actively contribute to taking Data Science at Kredivo to the next level.

About you:

• Minimum >5 years of relevant work experience.
• Masters, PhD or equivalent experience in a quantitative field (i.e). Computer Science, Mathematics, Statistics, Econometrics, Engineering, Artificial Intelligence).
• Capable of building robust end-to-end predictive models using the latest Machine Learning techniques and methodologies.
• Proficiency in Python or R.
• Exposure to RDBMS (i.e. MySQL, PostgreSQL) and No-SQL platforms (i.e. S3).
• Excellent English communication skills.

Bonus points (optional) for:

• Experience with alternate data to evaluate credit risk.
• Experience in building end-to-end Deep Learning and/or NLP models.

• 
  NON NEGOTIABLE - Deep risk domain expertise, building credit risk modelling (3-4yrs)
• Independent and good communication skills
• Strong in statistics and math
• Good to have: Experience working in finance institute

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