Data Scientist
Sea (Indonesia)
Indonesia | DKI Jakarta
Be among first to apply
Last updated 4 days ago
6 jobs
as Data Scientist
in Indonesia 
Loading options...
List of jobs found:
-
-
Data Engineer (Data Infra & Ops)
StraitsX
Indonesia | DKI Jakarta
Be among first to apply
Last updated 1 week ago
-
Data Engineer
PT. Intikom Berlian Mustika
Indonesia | DKI Jakarta
Be among first to apply
Last updated 1 week ago
-
Data Engineer Academic Instructor
Alterra Indonesia
Indonesia | DKI Jakarta
Be among first to apply
Last updated 2 weeks ago
-
Data Engineer Academic Instructor
Alterra Indonesia
Indonesia | DKI Jakarta
Be among first to apply
Last updated 2 weeks ago
-
Data Engineer
PT Metrodata Electronics Tbk
Indonesia | DKI Jakarta
Be among first to apply
Last updated 2 weeks ago
Data Scientist
Sea (Indonesia) (Jakarta, Indonesia)
DKI Jakarta,
Indonesia
Sea Limited is a leading global consumer internet company founded in Singapore. Our mission is to better the lives of consumers and small businesses
About this position
Responsibilities
• Work on risk model development for retail and SME finance products such as consumer lending, personal finance, small and medium-sized enterprises loan and so on
• Build models and tools for credit and fraud risk identification in various aspects. For example, credit risk modelling, income estimation, customer information verification, anti cash-out, non-starter detection, account take over and so on
• Maintain business operations for credit and fraud risk products in various aspects. For example, conduct product backtesting, pipeline stability check, and build relevant monitor dashboards and so on
• Collaborate closely with the risk policy and business team. Translate business need and insight into machine learning models and product solutions.
• Research model methodology and data mining techniques to improve model performance
Requirements
• Bachelor's degree in Machine Learning, Business Analytics, Information Technology, Finance, Economics, Statistics, Mathematics, or a related field. Master's and PhD degree are preferred.
• 1-5 years relevant credit or anti-fraud model development experience
• Experienced with data mining and feature engineering from massive raw data especially the alternative credit data
• Solid understanding and hands on experience of machine learning models such as boosting trees, regression models and good sense in feature engineering
• Good coding skill using SQL, Spark and Python
• Eager to learn new things and has passion in work
• Take responsibility, team oriented, result oriented, customer oriented and self driven
• Experience in network analysis, search and recommendation system and other machine learning field is a plus
