Data Scientist
HybridCórdoba, Cordoba, Argentina
Job Summary
Own data science initiatives end-to-end, from understanding business problems through exploration, solution design, development, validation, and deployment. Analyze complex travel datasets to uncover patterns and turn findings into practical recommendations for airline employee travel needs. Design, develop, and validate machine learning solutions for use cases like customer segmentation, demand forecasting, and recommendations, partnering with engineering teams to integrate models into production systems. Evaluate existing projects, adapt approaches as business goals shift, and communicate trade-offs clearly to technical and non-technical stakeholders. Work with Product, Marketing, and Operations to deliver measurable value while ensuring solutions remain maintainable and reliable.
Required Qualifications
- Bachelor's, Master's, or Ph.D. in Statistics, Mathematics, Computer Science, Engineering, Data Science, or another quantitative field, or equivalent practical experience
- Proven experience applying statistical, analytical, and machine learning techniques to real-world business problems
- Experience owning data science projects from problem definition through development, validation, and production deployment
- Strong proficiency in Python and commonly used data science and data manipulation libraries
- Strong SQL skills and experience working with relational databases and analytical datasets
- Solid understanding of statistics, model evaluation, experimentation, and data analysis
- Ability to work with ambiguous problems, ask the right questions, and independently determine an appropriate approach
- Ability to understand existing models and data science solutions and evolve them as requirements change
- Strong communication skills, with the ability to explain complex findings and trade-offs to both technical and business stakeholder audiences
- Experience working with containerized environments and collaborating with Engineering teams to bring data science solutions into production
Desired Qualifications
- Previous experience in e-commerce, marketplaces, travel, recommendations, forecasting, or customer analytics
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