Marketing Data Scientist

Ref 2587867 | Date: 28 Oct 2026


Are you burning to explore how Marketing actions underpinned by data science can positively influence customer satisfaction and value in a fast-paced environment? Do your eyes light up when you hear Optimisation Modelling, Random Forests, Data Architecture and Predictive Models?

Well, we’re looking for a talented individual who shares our interests and values. Do you focus on the essential and do what you say? Are you curious with a constant willingness to improve the status quo? Do you try to make things simple?

So, come and join us as a

Marketing Data Scientist

We offer a unique opportunity within our growing Customer Value Management \& Analytics team.

Workplace: Prilly-Malley

Activity rate: 100%

Your responsibilities

Your role will be pivotal in Salt’s Customer Value maximisation by being instrumental in unleashing the potential of Salt’s Data Science and Campaign Management environment.

As a key team member, you will initially familiarise yourself with Salt’s data through general structured and unstructured “Big Data” management. Subsequently, you will be driving Data Science development initiatives from Machine-Learning Models within Salt’s Predictive Suite to the development of Operational Optimisation models. On top you will be exposed to multiple other topics ranging from ad-hoc analyses to device pricing and performance steering via actionable recommendations.

You bring along with you

• Data Science background and experience
• Know how in Operational Optimisation techniques
• Proven SQL, R, R Shiny and Excel skills
• Energy \& Drive with unlimited curiosity
• 2\-5 years of Data Science working experience
• Innate flexibility and adaptability
• At ease in English, French a plus

What we offer

• An exciting and dynamic environment with a unique start\-up corporate culture where feedback, proactivity and personal commitment are highly valued
• Work in an amazing \& fun multi\-cultural team
• Opportunities for professional growth and continuous learning
• Diverse and several fringe benefits
• Part\-time home office
• Flexible working hours
• 6 weeks holidays

Have we sparked your interest? Then we would love to get to know you. Please apply online.

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