Chuyên viên cao cấp Khoa học Dữ liệu - MSB DF - DXA - 1M353

Objectives:
The job holder investigates business problems, extract, analyze and interpret large amounts of data from a range of sources, using advanced algorithmic, data mining, artificial intelligence, machine learning, deep learning, data visualization and statistical tools, in order to make it accessible to businesses and deliver pre-agreed specific business KPIs.
Key Responsibilities:
Mine, profile, clean and analyze data from company's databases to drive optimization and improvement of product development, customer journey experiences, revenue uplift, marketing techniques and business strategies.
Assess the effectiveness and accuracy of multiple data sources and data gathering techniques.
Know at all times your data (size, average, distributions, outliers, etc.) and be able to estimate model output, impact and come up with sanity checks to detect bugs (discrepancies between expectations and results). Analyze data for trends and patterns and interpret the data with clear objective and outcome in mind.
Translate business problems into data analytics ones, build algorithms and work with machine learning and deep learning tools to deliver advance analytics solutions across the firm including classification, regression, recommendation engines, clustering, time series forecasting, probabilistic & statistics modeling, etc.
Collaborate with use case leads and campaign teams for end-to-end analytics use cases with baselining, modeling, stratified sampling, A/B testing design and go-to-market plan.
Execute and review data science projects in an Agile manner and in compliance with internal regulatory requirements.
Develop processes and tools to monitor and analyze model performance and prediction accuracy.
Guarantee machine learning models are developed with modular, maintainable & scalable code bases.