To discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals.
Also, design and implement data modeling for solving specific and complex problem within business purpose by using advance technique of data science such advance statistic, mathematical model, and machine learning
Perform hands-on data exploration, processing, and analysis on massive data sets.
Use machine learning, deep learning and data mining techniques to solve business case or problem
Pull data, perform feature engineering, back-test models, compare model performances and communicate the results to stakeholders.
Research and develop state-of-the-art algorithms that address complex business problems.
Identify and findings business opportunities from big data via data analytic method.
Advise and recommend about data insights to business users.
Bachelor Degree or above in Computer Science, Computer Engineering, Information Technology, MIS, Statistics or related field.
At least 3 years’ experience in Big data, data analytic or related field.
Knowledge in Big data tools / technologies.
Knowledge in data visualization.
Skills in computer language (SQL, R, Python), Big data technologies (Hadoop, Spark)
Knowledge in retail business is a plus.
Excellent problem solving and analytical skill, planning and organizing skill, and customer oriented.
Can work under pressure, strong communication & negotiation skill, self-learning, self-motivate.
Strong / Excellent in English skills (Listening, Speaking, Reading, Writing