Pricing & Market Economics Data Scientist

Qogita; Amsterdam; Hybrid; EUR 60,000 - 75,000; Full time

Benefits offered by this job

Hybrid work flexibility

Annual learning & development budget

Equity package

Pension contributions

Dog-friendly offices

Office socials and offsite

Job summary

Qogita is seeking a data scientist with broad quantitative skills and a background in microeconomics, econometrics, or finance. You will own data science work across Qogita's wholesale business—from forecasting and classification to experimentation and pricing models—and advise on how prices are set, how buyers respond, and how market structure shapes commercial decisions.

The Data Science team collaborates with Product, Finance, and Commercial teams to build the analytic layer that drives

Qualifications

• 3+ years working as a data scientist or quantitative analyst with ML and econometric focus.
• Strong Python (pandas, statsmodels, scikit-learn, XGBoost, PyTorch) and SQL; comfortable with large datasets.
• Grounding in pricing and market economics — price theory and buyer behavior.
• Familiarity with econometric techniques for demand estimation, forecasting and causal effects.
• Experience designing experiments with real business impact.
• Able to communicate findings to non-technical stakeholders.

Responsibilities

• Build and deliver data science solutions across the stack: predictive models, segmentation, forecasting, ranking, and pricing models.
• Act as domain expert on pricing and market economics and translate findings into commercial recommendations.
• Research, build, deploy and maintain predictive models reflecting buyer behaviour and wholesale dynamics.
• Design and analyse experiments and A/B tests with statistical validity; translate results into product/commercial guidance.
• Apply regression, causal inference, and ML methods to pricing, demand, liquidity, and related problems.
• Collaborate with engineers to deploy models via reproducible MLOps workflows and monitoring.
• Communicate modelling results and limitations clearly to Finance, Commercial, and Product.

Skills

3+ years data science

Python and SQL

Pricing & market economics

Econometrics techniques

Experiment design & A/B testing

Communication to stakeholders

Quantitative degree in math/ economics

Education

Bachelor's or Master's in a quantitative field

Tools

Python

SQL

XGBoost

PyTorch

scikit-learn

Job description

Qogita is seeking a data scientist with broad quantitative skills and a background in microeconomics, econometrics, or finance. You will own data science work across Qogita's wholesale business—from forecasting and classification to experimentation and pricing models—and advise on how prices are set, how buyers respond, and how market structure shapes commercial decisions.

The Data Science team collaborates with Product, Finance, and Commercial teams to build the analytic layer that drives