Hybrid Data Scientist ( Operations Research) Data Scientist ( Operations Research)

Data Scientist ( Operations Research)

Heineken is seeking a talented and motivated Data Scientist with a strong background in Operations Research. The role involves working on challenging business problems, requiring development of innovative optimization models, and deploying them in ways that deliver significant business value.

The mission of Global Analytics is to lead HEINEKEN into becoming a data-driven company and the best-connected brewer. As a team, we radiate a data-driven entrepreneurial culture to the rest of the company. We act as an incubator for smart data products in all business areas, from sales to logistics and marketing to purchasing. This approach has allowed us to grow rapidly and launch many value-creating use cases from the management of spare parts to the allocation of media spending. Our focus for the upcoming year is to scale these, and other, use cases to as many countries as possible globally.

We are a team of passionate professionals dedicated to collecting the best experts from around the world in IT and analytics, bringing together innovative thinkers to create cutting-edge solutions for our partners. Together, we aim to help businesses evolve into true data-driven entities.

Our team is characterized by a high degree of freedom to shape how we work—using the latest tools, technologies, and methods to create scalable, impactful solutions. If you're someone who thrives on solving complex optimization problems, enjoys collaborating with experts across various domains, and is eager to see your ideas implemented, this role is a great fit for you.

Technical requirements:

· BTech/MS/MTech in Computer Science, Operations Research, Mathematics, or a related field.

· At least 3 years of experience in optimization, machine learning, or operations research, with a focus on MILP.

· Building and deploying state-of-the-art optimization models to solve complex business challenges

· Strong theoretical background in combinatorial optimization and excellent in efficient mathematical model formulation

· Proficiency in statistical computing languages (Python, R, etc.) with strong coding skills.

Cross-functional requirements

· Collaborating closely with data engineers, data scientists, and business stakeholders to ensure alignment between technical solutions and business objectives.

· Bringing a team player attitude, working autonomously when needed but also providing support and mentorship to team members.

· Excellent communication and collaboration skills, with the ability to explain complex optimization solutions to both technical and non-technical stakeholders.

What’s in it for you:

· Working in global, diverse team of highly skilled data scientists and operation researchers.

· Be part of a team with a high level of autonomy, where new approaches, tools, and technologies are welcomed.

· The opportunity to work remotely as much as you like, or from a modern office with excellent transport links and flexible working hours.

· Access to benefits such as private medical care.

· Numerous opportunities for self-development, including online courses, experience exchange with colleagues worldwide, and partial grants for certifications.

If you’re looking for an opportunity to work on exciting optimization challenges in a collaborative, innovative environment where your work has a real impact, we’d love to hear from you!