The HEINEKEN Company
Website:
theheinekencompany.com
Job details:
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 is part of the European Data & AI Hub and 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 drives the Research & Development activities of the Advanced Analytics organization by identifying and developing new Analytics opportunities for the enterprise within a specific group of Functions.
It is essential that the role holder delivers analytical solutions that are both theoretically sound and 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, along with various programs across the central, regional and Operating Company (OpCo) structures.
In particular, they 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.
Qualifications:
• MS or PhD in Computer Science / Statistics / Mathematics / Artificial Intelligence / Physics or
related technical discipline
• At least 5 years of experience in a statistical and/or data science role
• Knowledge of machine learning, statistics, simulation, optimization or related fields • Experience
in Time -Series forecasting
• Fluency in applying Data Science methods (including ML) while solving business optimization
problems
• Fluent ability to program with Python (background in languages like R, MATLAB, Scala is a plus)
• Strong software engineering skills (including unit testing, OOP)
• Thorough knowledge of the NumFOCUS stack: pandas, scikit-learn, Matplotlib, SciPy
Experience / Skills Required:
• Experience with working with large data sets through Spark and RDBMs
• Experience with versioning systems (e.g. Git)
• Knowledge of basic DevOps tools and methods such as Docker, Kubernetes, CI/CD pipelines
• Experience in deploying to production and ability to plan a product including broader technical
landscape (ability to design and deliver product following modular approach)
• Experience working in a start-up environment or organizations with the agile culture
• Professional attitude and service orientation
• Team player
• Ability to work autonomously to deliver complex projects
• fluent English as you will communicate in English almost all the time
• Experience with Azure stack would be a plus
• Experience with building and validating statistical models (Bayesian regression, linear/ridge/lasso,
tree-based models, clustering) to address business problems.
• Experience with communicating technical and analytical findings to business stakeholders
Analyst mindset to brew insight from the data You'll stand out if you have:
• Experience with FMCG/CPG/retail sector
• Experience with working with large data sets through Spark and RDBMs
• Knowledge of basic DevOps tools and methods such as Docker, Kubernetes, CI/CD pipelines
• Experience in deploying to production and ability to plan a product including broader technical
landscape (ability to design and deliver product following modular approach)
• Experience working in a start-up environment or organizations with the agile culture
• Ability to work autonomously to deliver complex projects
• Experience with Azure stack would be a plus
• Experience in MMMs
• Experience in Promotions
• Experience in using mixed integer optimisation
Click on Apply to know more.