Senior Data Scientist
Summary
Our client is looking for a senior Data Science consultant to audit, redesign, and rebuild their chargeback and revenue estimation models as production-grade pipelines (dbt on Databricks, Python), and build a business-facing scenario tool that lets non-technical stakeholders model the impact of hypotheses — for example, price changes — on expected revenue.
Modelling Philosophy
Our client favours simple, interpretable, parametric approaches over black-box ML. That means closed-form equations, demand/price curves, elasticity models, cohort survival curves, GLMs, parametric distributions, and additive decompositions (trend × seasonality × price × mix). Every parameter must have a plain-language business meaning. Tree ensembles, deep learning, and LLMs are out of scope unless a strong case can be made that a parametric alternative is unworkable.
What You'll Deliver
- Audit of existing chargeback and revenue estimation models
- Proposed redesign with documented modelling approach
- Production forecasting and estimation models built in Databricks, dbt, and Python
- Business-facing scenario planning tool for non-technical stakeholders
- Full handover: documentation and knowledge transfer
Requirements
- 5–8 years of senior data science / analytics engineering experience
- End-to-end ownership of a forecasting or financial-estimation model in production
- Demonstrable bias toward parametric approaches: price elasticity, demand curves, cohort/LTV curves, survival models, GLMs
- Experience building scenario / what-if tools for non-technical stakeholders
- Stack: Python (pandas, numpy, scikit-learn, statsmodels, scipy.optimize), dbt (incremental models, tests, snapshots), Databricks (PySpark, Delta, jobs), advanced SQL
- Domain experience in chargebacks, payment risk, revenue forecasting, LTV, cohort projections, or pricing/elasticity
- Spanish C1+ (day-to-day with finance/ops stakeholders), English B2+ (documentation)
- Comfortable reconciling model outputs against accounting figures and communicating uncertainty in business terms
Nice to Have
- Payments / fintech / subscription / e-commerce background
- MLflow, Unity Catalog, Databricks Workflows, or Airflow
- Prior fixed-scope consulting track record with references
