JOB- Data Scientist / ML
Amsterdam/Remote (275150)
For more information please contact:
please include the job title and (job code) in your email
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 (275150)
The work is on-site in office 3 days per week
LANGUAGES – English
START DATE – 3 November 2025
DURATION – 30 April 2026 – Option to extend