Job Purpose:
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 or a group of Functions.
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.
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.
Key responsibilities:
• Deliver AA prototype products (pilots) in identified high value areas, and scale to deliver value; Manage portfolio of AA prototype products (pilots) to identify next high value product for HEINEKEN.
• Continued self- development and research of best- in- class analytical approached; (management and/or development and capability building of Junior/Senior Data Scientists).
• Participate in scrums and deliver all objectives within a defined scope Coordinate scrums and ensure others have defined scope and clear objectives.
• 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.
• Maintain strong relationships with stakeholders to ensure collaboration and delivery of objectives (Relationship creation and management of broader team’s stakeholders to ensure strong connection and collaboration for team).
• Responsible for R&D within the Advanced Analytics organization for across a range of products or functions.
• Apply software engineering best practices (CI/CD and unit testing) to ensure the reliability and robustness of data science solutions.
Budget responsibilities :
• Potential responsibility for selection of AA Vendors and AA Tooling workbench (Procurement & Enablement of tools sits with GIS).
Number of direct reports:
• Potential for Chapter leadership.
Reports to :
• Analytics Hub lead.
Key contacts (roles):
• European Data & Analytics teams’ leadership.
• Global Data Management leadership.
• Global Data Science leadership.
• Product Suite Teams within / beyond domain of expertise.
Qualifications/ Experience / skills required per job levels:
Qualifications:
• MSc/PhD in Statistics, Mathematics, or a related field; equivalent work experience accepted.
• 5+ years in a pure analytical/science role .
Experience / Skills (all levels):
• Fluent Python and thorough knowledge of pandas & scikit- learn.
• Excellent written and verbal communication skills.
• Knowledge of Machine Learning, Statistics, and related fields.
• Past record of successful Data Science projects.
• Breadth and Depth in Data Science and Machine Learning.
• Knowledge of industry trends and demonstrated commitment to stay up to date on new technologies.
• Ability to build and maintain strong collaborative relationships with stakeholders across the business.
• Communicate effectively with various stakeholders, tailoring your message to your audience&039;s level of technical understanding.
• Demonstrated ability to effectively manage multiple simultaneous projects and deliverables.
Nice to have:
• Experience with Azure development environment
• Experience working with a large development team (CI/CD)
Language(s):
• Excellent written and verbal English
Leadership competencies:
• Proven experience in executive communications
• 3+ years of management experience
• Experience setting team vision and strategy
• Management / leadership of related domain experts
