MAIN OBJECTIVE :
This position is embedded in the Client Marketing team which is based on 4 pillars : Client Relation, Client Services, Client Insights and Client Data & Knowledge.
The International Client Data scientist will be part of the Client Data & Knowledge team under the supervision of the International Client Data Analysis manager.
This newly-created position will help to build predictive analysis on Client behavior by using state-of-the-art machine learning technics in the aim of improving the impact of our Client Relation initiatives.
The International Client Data scientist will also be responsible for ensuring that 360 client related data are gathered in the GCP Datalake, with a high quality so that it can be leveraged in his / her analysis.
His / her role will be transversal, working very closely with team members of the Client Marketing team but also with team members of other teams such as Richemont IT.
He / she will be interacting with a community of data-scientist from Commercial and Operation teams.
KEY RESPONSIBILITIES :
Develop predictive analysis & machine learning
He / she will select features, build and optimize machine learning algorithms to support the Client relational plan for Lifecycle activations as well as product activation.
He / she knows how to explain the methodology, present the results to non-initiate audience, support markets in the implementation and the testing of the predictive models.
He / she is up-to-date with ML innovations. He / she will propose and implement methodology improvements on the algorithms (integration on third party data, new algorithms etc..)
Ensure Client Database maintenance and enhancement
He / she will be the expert of the Cartier Client database.
He / she will integrate new Client related data in the Richemont data lake (Google Cloud Platform) and perform sanity checks (e.
g. Salesforce data, Customer Service data).
He / she develops use cases from data lake project (linked to navigation KPIs or product lifecycle information).
Perform Client Studies as answers to business questions
He / she translates business needs from Marketing, Clients and Communication teams into client intelligence projects (before Product launch, after media campaign, marketing services ).
He / she identifies data sources and methodology to apply.
He / she conducts client studies (planning, follow-up, coordination).
He / she presents actionable insights in a clear manner and adapted to target audience.
He / she updates and enriches our annual Client Profiling analysis which provides markets with detailed KPIs on their clients’ behavior.
Your profile :
Master's degree in Computer Sciences, Computer Engineering or related field with a proven 2 years to 5 years’ experience in machine learning applied to Client related activities
Languages : Fluent in both English & French
Experience in SQL is mandatory (BigQuery being a strong asset)
Experience in machine learning is mandatory (Python being a strong asset)
Knowledge of Cloud environment is a plus (GCP, Azur, AWS)
Expertise in Luxury Retail Industry is a plus
An analytical mindset with problem-solving skills
Excellent communication, collaboration and organizational skills
Ability to interact with a wide variety of people
Able to prioritize and manage several projects at the same time
Client & Service Oriented
Proficient in MS Office (Excel, Access, Word etc.)