Manager - Data Science

This role will be the Senior data scientist for APAC HQ and will support various markets across APAC on a flexible project by project role.

• Main markets to support will include
• New Zealand
• Thailand
• Vietnam
• Australia
• In this role, you will play a key role as an expert in modelling to support commercial priorities and will demonstrate hands-on expertise in building and application of Segmentation through Shopper Led Clustering (SLC) , Mot Valuable Store Modelling and White Space store modelling through application of Data science and advanced analytics
• The position exists to unlock competitive advantage in go-to-market and execution through cutting edge data science, advanced analytics and AI techniques, with a focus on OT, TT and AfH. The role holder will also leverage industry best practice and shared learnings within GCC to help to establish data science and machine learning to support market projects.

• • Working with huge and varied datasets to find sources of strategic advantage in go-to-market and execution, with a focus on Organised Trade, Traditional Trade and Away-From-Home.
  • Designing and using algorithms and building predictive & prescriptive models needed to automate execution and the generation of insights, to enable efficiencies that allow colleagues to focus on value added tasks.
  • Develop our existing tools to build greater simulation and forecasting capability, giving our business and our retail customers confidence that we can improve returns on current execution, asset deployment and activation plans., with 2 main focus areas:
  • Building segmentation models (SLC)
    • Building new SLC models for existing or new markets/channels or customers k-means algorithm etc
    • Utilising data from sDNA and/or excel data through internal data lakes or customer data
    • Building any other form of new measurement asset to answer business questions
    • Validation of model with relevant stake holders
    • Reporting of outputs of data , eg. Share of category, brand, flavour, sku, etc

The purpose of this section is to identify the requirements of the job. State the minimum qualifications, knowledge and years of experience required to qualify for the position.

• Best in class data science capabilities, for instance a Masters degree in data science or maths.
• 5-7years of relevant advanced analytics experience in Marketing or Commercial in either Retail, or CPG industries. Other B2C domains can be considered
• Advanced knowledge of key data science techniques:
  • Combining data from multiple sources through APIs, Semantic Web, etc.
  • Data preparation and feature engineering
  • Supervised / Unsupervised learning (ML Based)
  • Collaborative Filtering
  • Location Analytics & Intelligence
• High level of proficiency in Python ( Cloud infrastructure -Databracks )
• Familiarity with query languages such as SQL or Hive

Able to translate complex concepts into clear stories for the busines