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.
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.
Key responsibilities:
• Continued self- development and research of best- in- class analytical approached; (management and/or development and capability building of Junior/Senior Data Scientists).
• 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.
• Responsible for R&D within the Advanced Analytics organization for across a range of products or functions.
• 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).
• Apply software engineering best practices (CI/CD and unit testing) to ensure the reliability and robustness of data science solutions.
• Participate in scrums and deliver all objectives within a defined scope Coordinate scrums and ensure others have defined scope and clear objectives.
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):
• Global Data Management leadership.
• European Data & Analytics teams’ leadership.
• Global Data Science leadership.
• Product Suite Teams within / beyond domain of expertise.
Qualifications/ Experience / skills required per job levels:
Qualifications:
• 5+ years in a pure analytical/science role .
• MSc/PhD in Statistics, Mathematics, or a related field; equivalent work experience accepted.
Experience / Skills (all levels):
• Fluent Python and thorough knowledge of pandas & scikit- learn.
• Ability to build and maintain strong collaborative relationships with stakeholders across the business.
• Excellent written and verbal communication skills.
• Demonstrated ability to effectively manage multiple simultaneous projects and deliverables.
• Knowledge of industry trends and demonstrated commitment to stay up to date on new technologies.
• Knowledge of Machine Learning, Statistics, and related fields.
• Communicate effectively with various stakeholders, tailoring your message to your audience&039;s level of technical understanding.
• Past record of successful Data Science projects.
• Breadth and Depth in Data Science and Machine Learning.
Nice to have:
• Experience working with a large development team (CI/CD)
• Experience with Azure development environment
Language(s):
• Excellent written and verbal English
Leadership competencies:
• Management / leadership of related domain experts
• Experience setting team vision and strategy
• Proven experience in executive communications
• 3+ years of management experience
