Tuyển dụng [DI2] Senior/Expert Data Scientist - MSB - DXA - 1Y341 tại Hà Nội

This position belongs to
MSB D-Innovation 02
- The most extensive annual IT recruitment program of
MSB
. The highest goal of the Program is to create opportunities for experienced Technology experts to demonstrate their ability, thereby successfully implementing the
2000-billion Mega Projects
in the high-tech complex of
MSB
(including large/small Technology projects and MSB IT BU).
- Develop processes and tools to monitor and analyze model performance and prediction accuracy.
- Execute and review data science projects in an Agile manner and in compliance with internal regulatory requirements.
- 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.
- 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.
- 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.
- Guarantee machine learning models are developed with modular, maintainable & scalable code bases.
- Assess the effectiveness and accuracy of multiple data sources and data gathering techniques.
- 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.
- As a senior data scientist, you will also:
Proactively lead discussions in 3+ squads to identify questions and issues for data science
Mentor and coach junior fellows into fully competent Data Scientists.
Drive application of machine learning and big data techniques across different journeys and squads.
Lead the identification and interpretation of meaningful and actionable insights from large data and metadata sources together with business partners.
Manage project conflicts, challenges and dynamic business requirements to keep operations running at high performance.
Work with team leads to resolve people problems and project roadblocks, conduct post mortem and root cause analysis to help squads continuously improve their practices to ensure maximum productivity.
Manage, execute, and review complex data science projects in an agile manner and in compliance with internal regulatory requirements.
Evaluate effectiveness of proposed models and track business performance KPIs against data model.
Review processes and tools designed to monitor and analyze model performance and prediction accuracy.
Collaborate with Data Engineers & ML Engineer to build complex, technical algorithms in data analytics software applications to improve work efficiency.