Job title: Senior Data Scientist
Location: Remote (Within Spain)
Contract Type: Freelance/Contract
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We're looking for an experienced Data Scientist to audit, redesign and rebuild chargeback estimation and revenue forecasting models. You will work on production grade pipelines within a dbt on Databricks stack, alongside a business facing scenario tool that which stakeholders to model the impact of price changes on expected revenue
Key Responsibilities
- Audit and redesign chargeback estimation and revenue forecasting models
- Deliver production-grade pipelines in dbt (Databricks) and Python
- Build scenario/what-if tools for non-technical stakeholders (price sensitivity, revenue planning, unit economics)
- Apply interpretable, parametric modelling approaches — closed-form equations, demand/price curves, elasticity models, cohort survival curves, GLMs, and additive decompositions
- Ensure every model parameter carries a clear business meaning explainable in plain language
- Reconcile model outputs against accounting figures and communicate uncertainty in business terms
Required Experience
- 5–8 years of senior data science or analytics engineering experience
- End-to-end ownership of a forecasting or financial estimation model in production
- Strong bias toward parsimony: price elasticity, demand curves, cohort/LTV curves, survival models, GLMs preferred over black-box ML
- Stack: Python (pandas, numpy, scikit-learn, statsmodels, scipy.optimize), dbt (incremental models, tests, snapshots), Databricks (PySpark, Delta, jobs), advanced SQL
- Domain: Demonstrated work on chargebacks, payment risk, refund/dispute modelling, xkdbapo revenue forecasting, LTV, cohort revenue projections, or pricing/elasticity
- Languages: Spanish C1+ (working day-to-day with finance/ops stakeholders) and English B2+ (documentation)
- Comfortable reconciling model outputs against accounting figures and explaining uncertainty in business terms
Nice to Have
- Payments, fintech, subscription, or e-commerce background
- MLflow on Databricks, Unity Catalog, Databricks Workflows, or Airflow
- Prior consulting or fixed-scope engagement track record (references preferred)