Data Scientist

FinAccel; Jakarta Pusat; Sur place; IDR 350 000 000 - 600 000 000; Plein temps

Résumé du poste

FinAccel is seeking a Data Scientist to own end-to-end machine learning projects, including idea-generation, prototyping, and production deployment. The role involves collaboration with Analysts and ML Engineers to deliver high-impact models such as credit scoring and recommendation systems.

The ideal candidate has a quantitative background, at least 2 years of experience, and strong Python or R skills, with exposure to SQL/NoSQL databases and DL/NLP modeling.

Qualifications

• Minimum 2 years of relevant work experience.
• Masters, PhD or equivalent experience in a quantitative field (e.g., Computer Science, Mathematics, Statistics, Econometrics, Engineering, AI).
• Capable to build robust end-to-end predictive models using the latest ML techniques and methodologies.
• Proficiency in Python or R.
• Exposure to RDBMS (MySQL, PostgreSQL) and NoSQL (S3).
• Experience with alternate data to evaluate credit risk.
• Experience in building end-to-end Deep Learning and/or NLP models.

Responsabilités

• Turn discoveries and ideas into machine learning models with ownership from concept to production.
• Prototype diverse ML models, from credit scoring to recommendation engines.
• Research and develop approaches to improve models using large, unique data sets.
• Contribute to advancing Data Science at FinAccel to the next level.

Formation

Master's degree or PhD in a quantitative field

Outils

Python

R

MySQL

PostgreSQL

S3 (NoSQL)

Deep Learning

NLP

Description du poste

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 where you’ll take full ownership of turning discoveries and ideas into machine learning models.

Prototyping diverse machine learning models, from credit scoring to recommendation engine.

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 FinAccel to the next level.

About you:

Minimum 2 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 to build 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).

Experience with alternate data to evaluate credit risk.

Experience in building end-to-end Deep Learning and/or NLP models.