Analyze and formulate business problems into practical analytics solutions
Manage to have all necessary data available timely
Design model validation and model maintenance based on Analytics Modeling Process Framework
Develop analytics models and solutions by using predictive analytics, statistics, optimization, machine learning, optimal sampling, experimental design and/or other techniques
Research on new cutting-edge technology & techniques in Deep Machine Learning, Artificial Intelligence, Re-enforcement Learning or related technical fields
Work closely with business teams and IT solution architecture team to ensure delivering practical analytics solutions on time
Qualifications And Education Requirements
Minimum 3 years of related experience on data analytic, data science, machine learning, etc.
Bachelors, or Masters degree in Data Science, Engineering, Statistics, Mathematics, Operations Research or equivalent with at least 1 years of work experience
Advanced knowledge of machine learning and big data analytics.
Familiarity with unstructured data, NLP, Text Mining, Graph Theory, Deep Learning.
Technical Skills: Python, R, Tableau, SQL.
Experiences with Hadoop, PySpark, Hive, Scala, Kafka, Impala etc.
Strong passion and ability to ask relevant business questions to the business team in order to provide the analytical suggestion
Proactive personality with initiative, resourceful, enthusiasm, and able to think on his own idea
