Data Scientist: ML, Pricing & Marketplace

Jibe Ventures; Amsterdam; Híbrido; EUR 70.000 - 110.000; Jornada completa

Descripción de la vacante

Qogita seeks a data scientist to own end-to-end data science work across its wholesale marketplace, framing ambiguous commercial problems and building models that ship using real-time market data.

You'll work across product, engineering, finance, and commercial teams to deploy predictive models, pricing insights, and LLM-powered features, ensuring production health and measurable impact.

Formación

• Strong quantitative background with practical ML experience.
• Experience moving models from proof-of-concept to production.
• Familiarity with experimentation design and A/B testing.
• Ability to communicate model choices and limitations clearly.

Responsabilidades

• Build and deliver data science solutions across the stack: predictive models, ranking, demand forecasting, segmentation, pricing, experimentation, and LLM-powered features.
• Own end-to-end ML systems: problem framing, model design, deployment, monitoring, and maintenance in production.
• Translate business problems into tractable ML tasks with clear success criteria.
• Apply regression, causal inference, and classical/deep learning methods to marketplace problems.
• Design and analyse experiments, owning statistical validity and actionable recommendations.
• Collaborate with Engineers to ship models via reproducible MLOps workflows.
• Communicate trade-offs clearly to engineers and non-technical stakeholders.

Conocimientos

Python

SQL

ML

Data analysis

Experimentation

Communication

Educación

Bachelor's or Master's in a quantitative field

Herramientas

Pandas

scikit-learn

XGBoost

PyTorch

Descripción del empleo

Qogita seeks a data scientist to own end-to-end data science work across its wholesale marketplace, framing ambiguous commercial problems and building models that ship using real-time market data.

You'll work across product, engineering, finance, and commercial teams to deploy predictive models, pricing insights, and LLM-powered features, ensuring production health and measurable impact.