Data Scientist

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Us
Coderio designs and delivers scalable digital solutions for global companies. We combine strong technical expertise with a product mindset to lead complex software initiatives end-to-end. We work with international clients, value autonomy and clear communication, and build long-term partnerships through technical excellence.

🌍 More information: coderio.com

We are looking for a Data Scientist to join a high-impact initiative with one of the leading airlines in Latin America. This is an exciting opportunity to work on meaningful Data Science challenges at scale, developing solutions that directly impact millions of passengers, operational decisions, and digital products.

This Role is open for people based in Argentina / Chile / Colombia

You will be part of multidisciplinary product teams, working closely with Product Managers, Engineers, Data Engineers, ML Engineers, and business stakeholders to transform complex problems into intelligent, production-ready solutions. Whether your interests are in Machine Learning, Forecasting, Optimization, Experimentation, or Generative AI, you will have the opportunity to work on problems with real business impact.

What To Expect In This Role

• Data Science & Machine Learning: Identify opportunities where Data Science can create measurable business impact and design, build, and deploy Machine Learning solutions.
• Forecasting & Optimization: Develop forecasting and optimization solutions to support complex business and operational decisions.
• Experimentation & Causal Inference: Apply rigorous experimentation and causal inference techniques to validate hypotheses and measure business impact.
• Generative AI: Explore and develop solutions leveraging Large Language Models and Generative AI where applicable.
• Production ML: Collaborate with Data Engineers and ML Engineers to deliver production-grade solutions following MLOps best practices.
• Model Improvement: Continuously monitor, experiment, and iterate on models to improve performance and business outcomes.
• Business Impact: Translate complex analytical findings into clear, actionable recommendations for technical and non-technical stakeholders.
• Technical Excellence: Contribute to the Data Science practice through knowledge sharing, technical reviews, reproducibility, and engineering best practices.
• Cross-Functional Collaboration: Work within multidisciplinary product teams alongside Product, Engineering, and business stakeholders.
  
  
  
  
  

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Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related quantitative field.
• 3+ years of experience developing Machine Learning or advanced analytics solutions in production environments.
• Strong programming skills in Python and SQL.
• Hands-on experience building and deploying production-grade Machine Learning models.
• Experience working with cloud platforms, preferably Google Cloud Platform (GCP).
• Strong analytical thinking and structured problem-solving skills.
• Ability to communicate complex technical concepts effectively to both technical and non-technical audiences.
• Strong sense of ownership, curiosity, and continuous learning.
• Ability to collaborate effectively with Data Engineers, ML Engineers, Product Managers, and business stakeholders.
  
  
  
  
  

Nice to Have

• Experience with Optimization or Operations Research.
• Strong knowledge of Time Series Forecasting.

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• Experience with Causal Inference and Experimentation.
• Experience with Large Language Models and Generative AI.
• Knowledge of MLOps and CI/CD practices.
• Experience working with large-scale digital products.
• Previous experience in industries involving high-volume, complex operational or transactional data.
  
  
  
  
  

Benefits

• 100% remote
• Long-term commitment, with autonomy and meaningful impact
• Strategic, high-visibility role within a modern engineering culture
• Collaborative international team with strong technical leadership
• Career development and growth opportunities within Coderio
  
  
  
  
  

Why join Coderio?
At Coderio, we value talent and excellence. While we are primarily a remote-first company, this specific strategic role offers the opportunity to work directly on-site to drive high-stakes initiatives. We are passionate about technology, collaboration, and fair compensation. We offer an inclusive and challenging environment with real growth opportunities. If you are motivated to design solutions that make a difference, we are waiting for you. Apply now.