Modeller Data Scientist

Key Skills

C Programming, C++, Cloud computing, Data science techniques, Java Programming, Machine learning techniques, MATLAB Programming, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

• You are an expert in applying advanced analytics to solve marketing and sales business problems. You are equally comfortable applying your knowledge to optimize marketing spend or working with sales to optimize trade spend.
• You are hands on in your ability to build models, but you are also comfortable coaching less experienced team members in how to solve problems, or managing agencies to deliver where needed.
• You know that having a great model isn’t enough, you love to derive the “so what from you models and tell compelling stories which inspire action and drive growth.
• A day in the life of...
• You’ll be responsible for using advanced analytics to provide robust measurements of marketing & trade investment across different business models, product categories and varied geographies.
• You will work closely with your stakeholders to provide guidance on how best to optimize and allocate marketing & trade investments in order to support the delivery of our commercial strategy.

As part of this role you will need to:

• Share your experience & knowledge and build Nestlé’s internal modelling capability
• Partner with stakeholders to build and deliver a portfolio of advanced analytics initiatives
• Work closely with to identify and answer business problems/questions using appropriate modeling techniques on available data
• Evangelize and provide advisory services around data science capabilities and knowledge within Nestlé
• Work with large, complex data sets and solve non-standard problems

What will make you successful

• Be educated to MSc level (or equivalent) in Math, Statistics, Physics, Operations Research, Econometrics or Data Science.
• Have proven experience of handling large datasets and reporting automation.
• Be able to demonstrate an excellent understanding of marketing mix modelling and price & promotion analytics.
• Experience with dynamic linear models/state space models is of particular interest.
• Have the ability to network and influence at senior levels both internally and externally.
• Be able to interpret data and explain business performance in an easy to understand way that tells a story to key stakeholders.
• Have proven experience of working in a matrix environment; achieving results through effective influencing and collaboration.
• Have advanced MS Excel, SQL, R, Python (or similar) experience.