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Mapp is a leading AI-powered retail technology company helping fashion retailers deliver highly personalised shopping experiences. By combining advanced recommendation systems, customer insights, and machine learning, we enable retailers to drive engagement, conversion, and long-term customer loyalty at scale. We are looking for a Senior Data Scientist who is passionate about applying machine learning, experimentation, and analytics to solve complex product challenges. This is an opportunity to work at the intersection of AI, personalisation, and product strategy, transforming cutting-edge research into scalable solutions that deliver measurable business impact.
Job Responsibility
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
Degree in a quantitative field such as Data Science, Statistics, Mathematics, Economics, Computer Science, or a related discipline
3-5 years of experience in Data Science, Machine Learning, or Product Analytics
Strong proficiency in Python (experience with PySpark is a plus)
Strong analytical and problem-solving skills
Ability to communicate technical concepts effectively to non-technical stakeholders
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
Nice to have
Experience with PySpark
What we offer
Flexible Ways of Working: hybrid working model with the flexibility of remote work and access to modern office spaces
Opportunity to work remotely from another EU country for up to two weeks per year (available to employees holding an EU passport)
Compensation & Benefits package varies by location
Growth & Opportunity: meaningful responsibilities, support in professional development