Senior Data Scientist
Join an advanced analytics team developing measurement and experimentation frameworks for AI-powered pricing models. Use data science to evaluate model impact, uncover insights, and support commercial decision-making.
Responsibilities
- Design and operationalize causal and uplift measurement frameworks
- Lead data discovery and analyze multidimensional data related to pricing algorithms
- Conduct research and experimentation, including A/B testing
- Translate business logic into modeling and technical pipelines with revenue managers, analysts, and data engineers
- Develop actionable insights and recommendations for stakeholders
- Present findings, strategies, and model impact to technical and non-technical audiences
Requirements
- At least 5 years of hands-on data analytics and data science experience
- Proven ability to use modeling to generate business insights
- Proficiency in Python and common analytics and machine learning libraries, including pandas, NumPy, scikit-learn, and statsmodels
- Proficiency in SQL and Git
- Bachelor’s or master’s degree in economics, statistics, mathematics, or a related field
- Ability to evaluate machine learning systems from a business impact perspective
- Strong communication and presentation skills for technical and executive audiences
- Experience translating complex requirements into actionable insights
Nice to have
- Experience in airlines, transportation, logistics, or travel
- Experience with causal inference, uplift modeling, anomaly detection, or pricing algorithms
- Knowledge of mathematical optimization
- Experience with BigQuery, Dataform, or Google Cloud Platform
- PhD in a relevant quantitative field