Senior Data Scientist

Leega

Data Scientist transforming pricing models for demand and occupancy data in a travel company. Analyzing data patterns and implementing revenue management strategies.

Posted 6/10/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Tech Stack

Tools & technologies

PandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

You will transform demand, occupancy, and purchasing behavior data into models that price a network with thousands of origin-destination pairs and multi-leg routes.
Conduct exploratory and statistical analysis to discover patterns, generate hypotheses, and guide modeling.
Model demand and no-shows per origin-destination pair using gradient boosting and time series methods, correcting for censored demand bias (unconstrained demand).
Estimate price elasticity and willingness-to-pay by segment and route as the basis for price optimization.
Model seat protection and capacity allocation (fare buckets) on multi-leg routes, balancing load factor and revenue.
Design A/B tests and causal inference analyses that validate price changes and measure real uplift, with clear statistical rollout criteria.
Ensure interpretability (e.g., SHAP) to defend each price to the business and regulators.
Design strategies for routes with limited historical data, starting from literature priors and evolving to ML solutions, on a per-tenant basis.

Requirements

What you’ll need

Strong quantitative background (Statistics, Economics, Mathematics, Engineering, Computer Science or related) and a solid foundation in probability, inference, and experimental design.
Exploratory data analysis (EDA) and strong storytelling and visualization skills.
Classical ML (regression, classification, clustering) and time series; familiarity with deep learning (PyTorch or TensorFlow).
Python and the Data Science ecosystem (pandas, scikit-learn, statsmodels); SQL for large-scale data.
Causal inference and/or A/B testing and impact measurement.
Clear scientific communication and comfort with AI-assisted development (e.g., Claude Code).

Benefits

Comp & perks

Remote work
Project duration: 6 months, with possibility of extension or internal hire.

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

statistical analysisgradient boostingtime series methodsprice elasticitywillingness-to-payA/B testingcausal inferenceexploratory data analysisclassical MLdeep learning

Soft Skills

storytellingvisualization skillsclear scientific communication