Senior Data Scientist

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.

Our team comprises data scientists, engineers, Business Intelligence Specialists, and Analytics Translators. Data Scientists build models and consult the business during the process, our Data Engineers build data platforms and ensure we have access to data, BI Specialists enable interaction and insights in our data products, and the Analytics Translators help businesses ensure the solution is fit for purpose by bridging the gap between the teams. Our global perspective has led the team to have a presence across three continents and five countries, with satellite teams in South Africa, Poland, India and Singapore. We truly are a Global analytics team.

We want to be collaborative, innovative, and reliable. We see collaboration as key in our global community with many different cultures, roles, and challenges. And strive to create an environment where you enjoy both the problems you are solving and the people you are solving them with. We innovate to transform HEINEKEN from a traditional to a data-driven company. We position ourselves as a business partner driving value-creating decisions and building trust in our solutions.

If these challenges sound interesting and exciting, we hope you apply. These are ambitious goals, and therefore we need your help.

Heineken is seeking a talented and motivated Data Scientist to join our team. As a Data Scientist at Heineken, you will play a key role in leveraging data to optimize our operations and drive business growth. The ideal candidate will have a strong background in time series analysis, a deep understanding of underlying models, and a track record of working on real-time data projects. Additionally, we are looking for someone who can thrive in a multicultural team environment and has the capability to be a full-stack data scientist.

Key Responsibilities:

• Perform advanced time series analysis to understand and predict demand, sales, and other key business metrics.

• Develop, implement, and maintain real-time data solutions to drive informed decision-making.

• Build and refine predictive models to improve forecasting accuracy, inventory management, and production planning.

• Collaborate with cross-functional teams to understand business needs and translate them into data-driven solutions.

• Work with large datasets, using programming languages such as Python, R, or others, to extract, transform, and analyze data.

• Design and implement data visualization tools to communicate insights effectively to various stakeholders.

• Maintain up-to-date knowledge of emerging data science and machine learning techniques and apply them to business problems.

• Promote data-driven decision-making culture within the organization.

Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field.

• 3+ years of professional experience in data science with a focus on time series analysis and real-time data projects.

• Strong understanding of underlying models and algorithms used in time series forecasting, such as ARIMA, Exponential Smoothing, and machine learning approaches.

• Proficiency in data analysis and machine learning tools and libraries, such as Python, R, TensorFlow, or PyTorch.

• Experience with big data technologies and distributed computing (e.g., Hadoop, Spark).

• Ability to work effectively in a multicultural team and adapt to various working styles and perspectives.

• Excellent communication and data visualization skills to convey complex findings to both technical and non-technical stakeholders.

• Proven problem-solving skills and a strong analytical mindset.

• Familiarity with data engineering and full-stack data science is a plus.

Why Heineken:

• Join a globally recognized brand with a rich history and a commitment to innovation and sustainability.

• Collaborate with a diverse and multicultural team, fostering creativity and collaboration.

• Make a meaningful impact by leveraging data to drive business growth and optimize operations.

• Competitive compensation and benefits package.

If you're a data scientist with a passion for time series analysis, a keen understanding of underlying models, and a desire to work in a dynamic, multicultural environment, we invite you to join the Heineken team and be part of our journey to create unforgettable moments through great beer and data-driven insights.

• Heineken is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.