Sr. Data Scientist  

• Determine and configure the necessary algorithms to develop a Machine Learning (ML) system to the business both Lending and Funding
• 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
• Processing, cleansing, and verifying 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

We are looking for someone who:

• Has excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc
• Has proficiency in using query languages such as SQL, Hive, Pig
• Has experience with NoSQL databases, such as MongoDB, Cassandra, HBase
• Has good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Has data-oriented personality and has passion in big data
• Has 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