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About the Role
We are looking for a Senior Data Scientist passionate about applying machine learning, experimentation, and analytics to solve complex product challenges. This role offers the opportunity to work at the intersection of AI, personalization, and product strategy, transforming cutting-edge research into scalable solutions that deliver measurable business impact.
Responsibilities
- Develop and improve recommendation systems and vision language models.
- Design and evaluate experiments.
- Collaborate closely with Product and Engineering teams to shape the future of the platform.
- Work on high-impact initiatives.
- Influence strategic decisions.
- Drive innovation across products used by millions of consumers and leading retail brands.
Requirements
- 3-5 years of experience in Data Science, Machine Learning, or Product Analytics.
- Proven track record of building and deploying machine learning models, ideally recommendation systems and vision language models.
- Experience with cloud and data technologies, such as AWS, DBT, Airflow, Databricks, and ETL pipelines.
Skills
- Machine learning
- Experimentation
- Analytics
- Python
- PySpark
- Analytical skills
- Problem-solving skills
- Communication of technical concepts
- Building and deploying machine learning models
- Recommendation systems
- Vision language models
- Cloud technologies
- Data technologies
- AWS
- DBT
- Airflow
- Databricks
- ETL pipelines
Location
- Hybrid
Work Type
- Hybrid
- Remote (EU country for up to two weeks per year)
Experience Level
- Senior
- 3-5 years
Education Level
- Degree in a quantitative field such as Data Science, Statistics, Mathematics, Economics, Computer Science, or a related discipline
Benefits
- Flexible Ways of Working
- Opportunity to work remotely from another EU country for up to two weeks per year (for EU passport holders)
- Meaningful responsibilities from day one
- Support for professional development
About the Company
- Mapp is a leading AI-powered retail technology company helping fashion retailers deliver highly personalised shopping experiences.
- We enable retailers to drive engagement, conversion, and long-term customer loyalty at scale by combining advanced recommendation systems, customer insights, and machine learning.