Senior Data Scientist (m/f/d) – Machine Learning & AI
Employment Type: Full-time
Drive AI Innovation at Scale:
I'm currently partnering with one of Europe's fastest-growing consumer tech marketplace companies to find a Senior Data Scientist to join a high-impact, product-led Data Science team.
This is a role for someone who enjoys solving complex business problems with machine learning and seeing their work directly influence product decisions, customer experience and commercial performance. You'll own projects end-to-end, collaborating closely with Product, Engineering, Analytics and business stakeholders to deliver measurable impact.
We're particularly looking for candidates with strong expertise in one of the following domains:

Dynamic Pricing & Revenue Management
Ranking & Recommendation Systems

You'll Be a Great Fit if You Have:

4+ years of commercial Data Science experience
Strong Python and SQL skills
Solid experience with classical Machine Learning, statistics and predictive modelling




Experience owning ML projects from problem definition through deployment and measuring business impact
Strong stakeholder management and communication skills
A product and business-first mindset
Experience working with large-scale datasets in production environments
The ability to translate ambiguous business challenges into scalable ML solutions

Experience in One or More of the Following Areas Is Highly Desirable:

Dynamic Pricing
Revenue Management
Forecasting
Ranking
Recommendation Systems

Your Responsibilities:

Design, build and deploy scalable machine learning models into production.
Develop predictive models for pricing, forecasting, ranking, recommendations, churn prediction, customer segmentation and revenue optimisation.
Analyse large, complex datasets to uncover business opportunities.
Design, execute and evaluate A/B tests and other online experiments.
Continuously monitor, improve and retrain production models.
Partner with Product Managers, Software Engineers

📌 Senior Data Scientist (Barcelona)
🏢 ZABEL
📍 Barcelona