Data Scientist

le contenu du travail

The job of (SR) Data Scientist consists mainly of setting up the appropriate models and processes to run our Revenue Management products, and to answer ad-hoc questions from clients & our consultants in the context of Revenue Management / Marketing & Sales Modelling.

Some examples of modelling are:

1) Statistical / econometric / marketing modelling:

• Modelling on market sales data / predominantly FMCG (fast moving consumer goods industry), electronics, telco, et. Both Brick & Mortar sales data, and online sales data (e.g. Amazon).
• Predictive and prescriptive modelling / baseline regression models / baseline forecasting models / price elasticity models
• Driver analysis: baseline decomposition models / uplift decomposition models

2) Product & process design in the context of:

• Promotional effectiveness
• Price elasticity and price pack architecture
• Marketing mix modelling
• Sell-in & sell-out prediction models
• Etc.

As part of the job, the (SR) Data Scientist will also contribute towards:

• The data architecture (of large and small datasets),
• Data processing solutions,
• Data mining solutions

The function of (SR) Data Scientist is predominantly an internal function that works in close collaboration with other Data Scientists within the team (for sharing & learning relevant know-how), other Data Experts on the project side, as well as Business Analysts and Consultants.

Therefore, Project management & collaboration skills, both in terms of recurrent projects and development projects, are a strong plus for junior levels, and required for senior levels.

Your profile:

1) Technical skills:

• High proficiency in programming in R. Knowledge of SQL or other programming languages is a plus.
• High proficiency in statistical methods, including classic regression models (parametric, non-parametric, linear, non-linear), and machine learning (plus point).
• Knowledge of dataset architectures / process architectures (plus point).

2) Certifications - Education - Experience:

• Advanced courses in statistics / econometrics / marketing modelling / other studies with focus on statistics (e.g., as part of an advanced Masters or PHD degree).
• 4+ Years of Business experience in Research experience (PHD).
• Any external technical certifications are a plus, e.g., programming language trainings etc.

3) Language skills:

• English at working level proficiency.
• Other languages are a plus.

What we can offer you:

We can offer you a fantastic experience:

• You will have a challenging range of tasks in a dynamic and young company with a fast growing team.
• You can further develop your skills on-the-job.
• You will be coached by a Senior Data Scientist with a broad experience.
• Full time contract within a very flexible working environment, with a competitive salary in line with the market and the possibility to grow in the organization.