Data Scientist at The Heineken Company

In this role, you will:

• Be a strong thought partner influencing strategic decision-making through data-driven insights and recommendations.
• Effectively identify and apply analytics, experimentation, and causal inference techniques for business problems.
• Design experiments and pioneer methodologies to measure the value of company initiatives globally.
• Develop and validate the appropriate metrics to measure success in a given area.
• Cultivate strong partnerships with cross-functional partners from engineering, data science, analytics translators, etc.
• Cultivate strong partnerships with cross-functional partners from Global Analytics, Analytics Hubs and various Operating Companies within Heineken globally.
• Present outcomes of analysis to all levels of the company.

You are

• A statistical expert with strong statistical knowledge and intuition, ideally applied in experimentation and observational causal studies settings.
• Proficient in Python and PySpark.
• Skilled in SQL and familiar with distributed data stores like Hive and Spark.
• Impact-driven, pragmatic and able to incorporate business context into data questions.
• Comfortable with ambiguity, thriving with minimal oversight and navigating complex processes and data landscapes.
• Excellent at communication. Able to convey technical content to non-technical audiences.
• Collaborative and thrive in team settings.
• Plus: A background in economics, econometrics.
• Plus: Familiar with software engineering practices.
• Plus: Familiar with Databricks