As a company, FrieslandCampina is running the transition towards pervasive data-driven decision making, not only on strategic level, it penetrates right into our 24/7 operations company wide. We have been working hard to deliver high-quality business intelligence reports and dashboards, that enable descriptive and diagnostic capabilities across all business groups. At the same time, we focus our efforts on improving our predictive and forecasting capabilities which are executed by business-embedded data scientists.
The Global Data Platform team is there to support these analytical efforts and products on a global level. We are building a state-of-the-art AWS cloud-based data landscape, consisting of a data lake and high performance data-warehouse, using largely AWS standard services (S3, Redshift, Cloudwatch,etc.).
In your capacity of the Data Science Solution Architect, you ensure that our data scientists are maximally enabled, by providing a high-quality data science toolkit, which satisfies our current demands and, more excitingly, future proof. You will be responsible for defining the roadmap towards industrialization of advanced analytical solutions, e.g. embedded machine learning, which needs to be able to perform at scale.
To succeed in this role, you should have a deep understanding of the data scientist’s toolbox, as well as how data engineers enables these possibilities. Because you are the one to bridge this gap between highly flexible innovative exploration and standardized industrial frameworks. Your will perform wide range of activities, from exploring new solutions with data scientists, to guiding root-cause-analysis for production data pipeline or analytical model breaks down. You will be challenged constantly in seeking the balance between assuring an “Always On ” production landscape”, whilst driving innovation with a fail-fast attitude.
From a technical perspective, you should have demonstrable knowledge of applied statistics from a business analytics and machine learning perspective. Here are some of the skills we will expect from you:
- Proven advanced analytics (data science) experience – showing an understanding of applied statistics and choosing the right technique for the task at hand
- Proven experience with AWS services (ideally certified as AWS Solution Architect or the Machine Learning- or Big Data Specialty)
- Extensive experience with Python, SQL and some familiarity with Linux scripting
As an international company, our primary business language is English and we often work with remote teams. This means that you need to bring in an excellent communication skills and good cultural awareness.