Data Scientist

Sanders & Creemers; Randstad; Híbrido; EUR 60.000 - 95.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Interim position

Hybrid work model

Based in the Netherlands

Descripción de la vacante

Sanders & Creemers is seeking an interim Data Scientist for a client in Amsterdam. You will collaborate with a diverse product team to define problems and build models that create value for customers.

You will leverage your expertise in recommendation systems to analyze large datasets, run A/B tests, and iterate improvements. The role is hybrid with 2-3 days in the office, and you must be based in the Netherlands.

Formación

• Good understanding of statistics and mathematics behind ML theories.
• Hands-on experience with production machine learning solutions.
• Understanding of ML fundamentals and deep learning.
• Strong programming skills in Python and you have a good grasp of data manipulation with SQL.
• Proven track record of deploying models in production and end-to-end ML flow.
• Exposure to GCP.

Responsabilidades

• Define problems and build models that create value for customers.
• Collaborate with a diverse product team.
• Lead A/B testing initiatives to evaluate model performance.
• Iterate for continuous improvement.

Conocimientos

Statistics & ML theory

Production ML

ML fundamentals

Python

SQL

Production deployment

Recommendation systems

GCP

Herramientas

GCP

Descripción del empleo

For a client in the in Amsterdam, we are looking for an interim Data Scientist. You will collaborate with a diverse product team and you will define the problems and you will build models that create value for customers.

You will utilise your expertise in recommendation systems to analyse large datasets, identify patterns, and generate solutions. In addition, you will lead A/B testing initiatives to evaluate the performance of various ML models and iterate for continuous improvement.

Requirements:

• Good understanding of statistics and mathematics behind machine learning theories;
• Hands-on experience with production machine learning solutions;
• Understanding of ML fundamentals and deep learning;
• Strong programming skills in Python and you have a good grasp of data manipulation with SQL;
• Proven track record of successfully deploying your models in production and you understand the end-2-end ML flow;
• Exposure to GCP;
• Bonus: Hands-on experience on recommendation systems, reinforcement learning and learn-to-rank algorithms.

What We Offer:

• An interim position
• Flexible Working: Hybrid model, with 2-3 days in the office
• Must already be based in the Netherlands, no relocation supported.