Your mission as a Data Scientist at ID90 Travel is to bridge the gap between technical execution and business goals by owning data science initiatives end-to-end. You will analyze complex travel datasets, design and validate machine learning solutions, and collaborate with cross-functional teams to deliver practical recommendations and reliable production models that drive measurable value for airline employee travel needs.

Key Responsibilities

- Own Data Science Projects End-to-End
- Own data science initiatives from understanding the business problem through exploration, solution design, development, validation, and deployment.
- Work with stakeholders to turn business questions and opportunities into well-defined data problems and measurable goals.
- Choose the right approach for each problem, whether that means statistical analysis, experimentation, machine learning, forecasting, recommendations, or a simpler solution.
- Define how success will be measured and evaluate solutions against both technical performance and business outcomes.
- Partner with Engineering and Infrastructure teams to integrate data science solutions into production systems.

Analyze Data and Generate Insights

- Explore and analyze complex datasets to uncover patterns, trends, and opportunities that can help guide business decisions.
- Work with teams across the company to understand their questions and help answer them with data.
- Identify assumptions, limitations, and potential biases in the data and communicate them clearly.
- Turn analysis into practical recommendations rather than simply reporting findings.

Build Data Science Solutions

- Design, develop, and validate models and algorithms that solve real business problems, such as customer segmentation, demand forecasting, recommendations, or other use cases.
- Use appropriate statistical and machine learning techniques while balancing accuracy, complexity,



maintainability, and business value.
- Build solutions that can move beyond experimentation and be used reliably in real-world scenarios.
- Document important decisions, assumptions, dependencies, and limitations so solutions can be understood and evolved over time.

Own and Evolve Existing Initiatives

- Understand and take ownership of existing data science projects, including their business purpose, technical approach, assumptions, and data dependencies.
- Adapt and extend existing solutions as business needs and goals change.
- Evaluate whether an existing approach is still appropriate and recommend when it should be improved, simplified, redesigned, or replaced.
- Help ensure that existing data science initiatives continue to provide meaningful business value over time.

Collaborate and Communicate

- Work closely with Product, Engineering, Marketing, Operations, and other teams throughout the lifecycle of data science initiatives.
- Explain findings, recommendations, assumptions, and trade-offs clearly to both technical and non-technical audiences.
- Present complex ideas in a practical and understandable way.
- Help teams make better decisions by bringing data and evidence into the conversation.

Qualifications and Experience

- Required
- 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

- Previous experience in e-commerce, marketplaces, travel, recommendations, forecasting, or customer analytics is a plus.

Required Skills/Abilities

- Autonomy &
- Navigating Ambiguity
- Business-Value Orientation &
- Critical Thinking
- Effective &
- Adaptive Communication
- Cross-Functional Collaboration
- Ownership &
- Accountability
- Initiative &
- Continuous Learning Mindset

Why Join Us

- Travel Benefits: Exclusive insider rates and deals on hotels, cruises, rental cars, and integral travel products through the ID90 Travel platform.
- Competitive Compensation: Competitive remuneration package in USD
- Hybrid Environment: A work setup offering hybrid flexibility to manage your work-life balance.
- Global Product Impact: The opportunity to build technologies that directly empower airline employees and transform global travel logistics.

📌 Data Scientist (Córdoba)
🏢 ID90 Travel
📍 Córdoba