Data Scientist (M/F)

☞ Fyte

전망: 170

갱신일: 26-11-2025

위치: Brussels Brussels Capital

범주: IT-소프트웨어 IT-하드웨어 / 네트워킹 정보 기술 생산/조작

산업:

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작업 내용

Our client, is looking for a Data Scientist (M/F) to join their Operations and AI Competence Center. Overall, you will contribute to converting data into actions to improve advertising campaigns performance, operational processes and influence strategic decisions.

Responsibilities

Data Management Platform (DMP)

You will be in charge of audience segmentation to deliver more tailored messaging for stronger connections.

You will facilitate new assimilations within and outside our client’s Data Management Platform (DMP) .

You will lead data optimization projects .

You will recognize relevant opportunities and generate insights .

Data Science

You will identify high-value use cases through data exploration and visualization.

You will transform business requests into data requirements.

You will direct prototypes in production processes to demonstrate their value.

You will deploy prototypes to production, with support from the IT department.

You will develop models using statistical methods.

Education, Languages & Experience

You have a master’s degree in a quantitative field or in another relevant field.

You have at least 3 years of relevant work experience.

Hands-on experience with DMP tools (such as Piano, SF DMP, Lotame, Adobe audience manager) and data science libraries.

You have proven experience with Python , R and machine learning techniques.

You are used to work with end-to-end data science projects .

You have experience with: Azure (or similar), Flask (or similar), PyTorch and Tableau (or similar).

You are fluent in French with professional proficiency in English .

The offer

You will receive a nice and varied salary package including a wide range of benefits compatible with your experience.

You will be able to work from the office and home .

You will work within a very dynamic and friendly business unit.

You will be in environment where training programs and worker development are key .
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마감 시간: 10-01-2026

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