Data Scientist/ML
Amsterdam/Remote (279411)
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Background
Who are you?
Master’s degree + in computer science, data science, statistics, econometrics or other STEM majors.
You have a good grasp of statistics and mathematics behind machine learning theories.
+5 years of hands-on experience with production machine learning solutions
Having a good understanding of ML fundamentals and deep learning.
Bonus: Hands-on experience on recommendation systems, reinforcement learning and learn-to-rank algorithms.
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.
You have a deep understanding of A/B tests and their limitations.
Excellent communication and collaboration skills to work effectively with cross-functional teams.
You have work experience with GCP (Optional)
What will you do?
You will collaborate with a diverse product team including Data scientists, Data analysts, ML engineers, software engineers, and UX designers.
Together with your team you will define the problems and you will build models that create value for our customers.
You will utilize your expertise in recommendation systems to analyze large datasets, identify patterns, and generate solutions.
Lead A/B testing initiatives to evaluate the performance of various ML models and iterate for continuous improvement.
Stay updated of the latest trends and advancements in data science, ensuring that our Machine Learning systems and solutions remain state-of-the-art.
The scope of the consultant services is to assist IKEA in:
You will collaborate with a diverse product team including Data scientists, Data analysts, ML engineers, software engineers, and UX designers.
Together with your team you will define the problems and you will build models that create value for our customers.
You will utilize your expertise in recommendation systems to analyze large datasets, identify patterns, and generate solutions.
Lead A/B testing initiatives to evaluate the performance of various ML models and iterate for continuous improvement.
Stay updated of the latest trends and advancements in data science, ensuring that our Machine Learning systems and solutions remain state-of-the-art.
Requirements- Desired knowledge, experience, competence, skills etc:
Master’s degree + in computer science, data science, statistics, econometrics or other STEM majors.
You have a good grasp of statistics and mathematics behind machine learning theories.
+5 years of hands-on experience with production machine learning solutions
Having a good understanding of ML fundamentals and deep learning.
Bonus: Hands-on experience on recommendation systems, reinforcement learning and learn-to-rank algorithms.
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.
You have a deep understanding of A/B tests and their limitations.
Excellent communication and collaboration skills to work effectively with cross-functional teams.
You have work experience with GCP (Optional)
What 3 things from the box above are most important?
+5 years of hands-on experience with production machine learning solutions
Having a good understanding of ML fundamentals and deep learning.
Proven track record of successfully deploying your models in production and you understand the end-2-end ML flow.
LOCATION – Amsterdam/Remote (279411)
Hybrid working model We meet 3 days a week at the Office.
LANGUAGES – English
START DATE – 15 February 2026
DURATION – 31 July 2026 – Option to extend
RATE – Euro /hr ( 40 hours per week )