Lowongan Data Scientist 17 Lowongan

You will have ownership in determining and configuring the necessary algorithms to develop a Machine Learning (ML) system to the business both Lending and Funding.

Client Details

Our client is one of the first publicly listed FinTech companies owned by a multinational firm. Equipped with the latest data analytic and technological platform, they leverage big data to create unconventional data credit scoring. They deliver in a fast and convenient manner while aiming to stay at the forefront of financial inclusion agenda year to year.

Description

• Gather, manage and scrub data collected from various ad and analytic platforms, to be used as training and test data to develop the ML System
• Collaborate with the Data Engineer and other Business Unit Leads to determine the system technical and functional specification
• Process, cleanse, and verify the integrity of data used for analysis
• Doing ad-hoc analysis and presenting results in a clear manner
• Enhance our data infra, analyze large, complex datasets into actionable insights
• Use data to solve complex problems which are pivotal to our business

Profile

• Excellent understanding of machine learning techniques and algorithms,such as k-NN, Naive Bayes, SVM, Decision Forests, etc
• Proficiency in using query languages such as SQL, Hive, Pig
• Experience with NoSQL databases, such as MongoDB, Cassandra, HBase
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Data-oriented personality and has passion in big data
• Solid analytical and problem solving skills to create data-driven insights
• Preferably Bachelor's Degree in mathematics, computer science, statistics, engineering and related major.
• Knows programming language (e.g. R, Java, Python)

Plus point if you have

• Experience in Google Cloud platform and pipeline
• Experience with data visualisation tools, such as Klipfolio, GGplot, etc.
• Past participation in Kaggle or other platform data

Job Offer

Competitive benefits

To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Josephine Wiliputri on +62 21 2958 8871.