Data Scientist

Job Description:

External Job Description - Digital Marketing Data Scientist / Data Analyst

Job Advert:

Want to drive a digital transformation? As a digital marketing Data Scientist you will understand the business questions of teams on the ground help the business teams to get the best out of the global data & measurement models implementation to ensure that our iconic brands are delivering best in class digital experiences to our customers.

Job title: Digital Marketing Data Science / Data Analyst

Package: Competitive Salary & excellent benefits package

Key responsibilities

• Provide requirements to the data engineering team to ensure features needed for an accurate and actionable outcome are made available.
• Understand learning agendas and BAU business questions to help choose the best features, additional datasets and appropriate algorithms.
• Drive deployment and scalability of new Data products for the Hub, being a technical expert in product activation.
• Responsible to execute Data Products during Sprints/Campaign and guarantee quality metrics (accuracy, speed, etc).
• Partner with global Data science/AI team to identify new opportunities and enhance existing products.
• Support marketing, brand and media teams with technical expertise and explain complex concept in simple terms.

You’ll succeed because you ... 

• A MSc Degree in a field linked to quantitativeresearch, applied mathematics, statistics, machine learning, market research, economyor closely related fields;
• Strong understand and work experience in data modelling and machine learning techniques (eg. regression, classification, attribution techniques, time series, XAI, automl, etc.);
• Contribute to continuous development of the analytics practice in scope, including service portfolio evolution and aligned to global frameworks for focus areas assigned to you;
• Strong understand digital marketing and data analytics in an FMCG context.
• Knowledgeable about how to use data to make decisions and drive business insight; able to communicate complex ideas to a diverse audience;
• Organised and sufficient at project management (including managing a fragmented workload), working with many different stakeholders (both technical and non-technical);
• Knowledge on Data Science tools/modules Jupyter Notebooks, Databricks, ML Flow and Nielsen databases is a plus.