Data Scientist

This role is part of the D&T department of HEINEKEN International. D&T is proud to bring cutting-edge innovation, strong technology, and advanced analytics to HEINEKEN. With speed and agility, we ensure HEINEKEN has the technological competitive advantages it needs to deliver on its ambition.  The role in as part of the APAC Data & Analytics Hub is critical in Heineken to operationalise our strategy of standardised and scalable data foundations across the region and enterprise. The role holder will work with colleagues across Heineken as part of a team that drive the Research & Development activities of the Advanced Analytics organization by identifying and developing new Analytics opportunities for the enterprise within a specific Function.  It is essential that the role holder delivers analytical solutions that are both theoretically sound but create immediate business value. This will be achieved by building strong relationships and collaboration with members of the broader HEINEKEN data organisation including Insight Enablement, Data Management and Global Analytics and various programs across the central, regional and Operating Company (OpCo) structures.  In particular, he/she will partner with a growing group of data professionals such as Data Engineers, Machine Learning Engineers and Product Managers who play a crucial role in the development and delivery of Analytics products at scale. Your role & responsibilities Responsible for R&D within the Advanced Analytics organization for across multiple products. Apply software engineering best practices (CI/CD and unit testing) to ensure the reliability and robustness of data science solutions. Develop predictive models and only standardised value-measurement techniques (e.g. running A/B testing) to solve complex business problems, such as forecasting timeseries, churn prediction. Participate in scrums and deliver all objectives within a defined scope including defining scope/priority where necessary. Deliver AA prototype products (pilots) in identified high value areas, and scale to deliver value. Develop AA prototype products (pilots) to identify next high value product for HEINEKEN. Maintain strong relationships with stakeholders to ensure collaboration and delivery of objectives. Continued self-development and research of best-in-class analytical approached. Your skills & qualificationsQualifications: BA/MSc in Statistics, Mathematics, or a related field; equivalent work experience accepted. 3+ years in a pure analytical/science role. Experience / Skills (all levels):  Past record of successful Data Science projects. Excellent written and verbal communication skills. Breadth and Depth in Data Science and Machine Learning. Ability to build and maintain strong collaborative relationships with stakeholders across the business. Demonstrated ability to effectively manage multiple simultaneous projects and deliverables. Communicate effectively with various stakeholders, tailoring your message to your audience's level of technical understanding. Knowledge of industry trends and demonstrated commitment to stay up to date on new technologies. Knowledge of Machine Learning, Statistics, and related fields. Fluent Python and thorough knowledge of pandas & scikit-learn. Nice to have: Experience with Azure development environment Experience working with a large development team (CI/CD) Benefits for you A diverse and open working culture, where your true identity is celebrated. Multiple career opportunities to rotate within Functions or cross-functions. Your wellbeing will be taken care by our Health & Safety Team since Day 1. Be a part of our sustainability journey in Brewing the Better Vietnam. Performance appraisal twice a year to guarantee constructive feedback Performance bonus (estimated at least 3 months) and 13th month salary bonus Bao Viet Insurance for employees and family Annual leave: 18 days/year Flexible benefit voucher 80% lunch in canteen Annual team building, Town hall, YEP Gift for special holidays and sponsor traveling ticket in Tet Holiday Từ thứ 2 đến thứ 6 (Sáng 8h00-12h00, Chiều 13h00-17h00)