Senior Data Scientist

Job not on LinkedIn

🕒 September 24

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 13%

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Leega

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

💼 Consulting

📣 Marketing

🔌 API

Consulting • Marketing • API

Leega is a leading technology solutions provider in Latin America, specializing in data analytics and cloud solutions. As the first company in the region certified by Google Cloud for Data Analytics, Leega offers a range of services including application development, machine learning, and risk management analytics. The firm partners with major cloud services such as AWS and Microsoft Azure to help businesses enhance their data management and transition effectively to the cloud, ultimately driving digital transformation and innovation.

📋 Description

• Transform demand, occupancy, and purchasing behavior data into pricing models for thousands of origin-destination pairs and multi-leg routes • Conduct exploratory and statistical analyses to uncover patterns, develop hypotheses, and guide modeling efforts • Model demand and no-shows using gradient boosting and time-series methods, correcting for censored-demand bias • Estimate price elasticity and willingness to pay by segment and route • Model seat protection and capacity allocation on multi-leg routes, balancing occupancy and revenue • Design A/B tests and apply causal inference to validate pricing changes and measure uplift • Ensure model interpretability, including the use of SHAP, to justify pricing decisions to the business and regulators • Develop cold-start and calibration strategies for routes with limited historical data • Collaborate with ML engineers, data engineers, and commercial and operations teams • Formulate hypotheses, validate them with statistical rigor, and influence revenue and margin across millions of trips per year

🎯 Requirements

• Strong quantitative background in Statistics, Economics, Mathematics, Engineering, Computer Science, or a related field • Solid foundation in probability, inference, and experimental design • Experience with exploratory data analysis (EDA), storytelling, and visualization • Knowledge of classical machine learning, including regression, classification, and clustering • Knowledge of time-series analysis • Familiarity with deep learning using PyTorch or TensorFlow • Proficiency in Python and the Data Science ecosystem, including pandas, scikit-learn, and statsmodels • SQL for large-scale data • Causal inference and/or A/B testing and impact measurement • Clear scientific communication • Comfortable with AI-assisted development using Claude Code • Knowledge of XGBoost, LightGBM, EconML, DoWhy, MLflow, Ray Tune, SHAP, Cube.js, and Athena • Experience or knowledge in elasticity, fare buckets/seat protection, linear programming, and revenue management is a plus • Graduate degree (Master’s or PhD) and experience with LLMs/RAG are a plus

🏖️ Benefits

• Ongoing professional development • Potential project extension or permanent employment after the six-month project • Remote work

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