B.S. or Masters or equivalent degree in Statistics, Analytics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred. Strong mathematical and statistics background.
2-6 years of experience in industry (ideally ecommerce, technology, consumer banking, telecoms, retail) and/or academia with demonstrated track record of innovative research and insight generation and implementation of insights into tools/processes delivering front end business results.
Should have fair understanding of using data mining, machine learning techniques and recommendation Engines on large amount of data, building and implementing various statistical models.
Good understanding of technology tools especially those related to analytics, data & modeling.
Good written and oral communication skills.
Data Scientists with strong proficiency with statistical modeling, data mining, machine learning, artificial intelligence and working with large scale datasets, distributed Big Data Platforms for a variety of advanced analytics solutions across the Bank ranging from recommendation engines, Propensity models, customer segmentation, Graph models, pricing and more.
Key skill sets required
Statistical Programming Tool Skills : Programming experience in SAS (Base, Stats, Macro, EG, EM), R, Python, Spark or other statistical programing software.
Platform and Database skills : Familiarity with Hadoop, Hive, and Pig. Proficient in using databases like Teradata, Oracle, SQL Server, Neo4J etc.
If you are interested kindly forward your resume to firstname.lastname@example.org
Tam Mun Hong (Joe), R1102284
+65 3158 5877