Interim Data Scientist – Production ML & RecSys | Hybrid

Sanders & Creemers; Randstad; Hybrid; EUR 60,000 - 95,000; Full time

Benefits offered by this job

Interim position

Hybrid work model

Based in the Netherlands

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Statistics & ML theory

Production ML

ML fundamentals

Python

SQL

Production deployment

Recommendation systems

GCP

Tools

GCP

Job description

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.