Data Scientist

Delivery Hero SEBuenos AiresJob.bopublished 10/19/2026
Must-have:PythonDataAI
Machine translation — original language: Spanish.Show original

About the company

PedidosYa is part of Delivery Hero, a world-leading delivery services company with a presence in ~65 countries. PedidosYa is the leading technology company in delivery and quick-commerce in Latin America. It is a simple, fast, and accessible platform that connects millions of users, companies, and riders with a wide variety of products and services. PedidosYa operates in 15 countries in Latin America, and in 2020 launched PedidosYa Markets, the first 100% digital market that delivers food and household items in 15 minutes. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock index.

Job Description The Global Incentives Service (GIS) team functions as a Center of Excellence with a clear mission: to revolutionize the way we interact with our millions of users, partners, and riders through intelligent, personalized, and efficient incentives. We design, develop, and scale these Data solutions for all Delivery Hero group brands worldwide. You will be part of a team that not only impacts the region but defines the incentive strategy in more than 70 countries.

Additional Information At PedidosYa, impact is measured not only by results but by how we achieve them. We look for the best talent: people who resonate with our values, the way we think, decide, and collaborate every day.

What you achieve is key, but "how" you do it is what defines us. By playing as a team, we make the business and our ecosystem continue to grow, while simplifying the daily lives of millions of people.

👉 Discover our values here.**** Talent diversity strengthens our Culture and our organization. We play as a team in everything we do, and what we like most about it is that we promote the creation of diverse and inclusive teams that can bring different perspectives to PedidosYa. Our job opportunities are open to all people, regardless of their gender identity, sexual orientation, ethnic origin, religion, age, disability, and/or other individual characteristics.

Your tasks

As a Data Scientist in GIS, your mission is to develop data products and Machine Learning (ML) models to optimize decision-making regarding incentive allocation. You will be responsible for the evolution and performance of ML and Artificial Intelligence (AI) systems, ensuring decisions are based on robust data. This role combines technical excellence with a deep business vision to generate maximum impact.

  • Develop, implement, and maintain end-to-end Machine Learning (ML) models and Artificial Intelligence (AI) solutions, applying best practices.
  • Lead data analysis to identify strategic opportunities and propose improvements in processes and products.
  • Guarantee the high performance, scalability, and robustness of data products implemented in different markets.
  • Collaborate with cross-functional teams (Product, Engineering, UX, and Analysts) to define KPIs, perform A/B testing, and ensure technical alignment with the rest of the Data Scientists.
  • Monitor model performance in production, resolving incidents and promoting technical knowledge within the team.

Requirements

  • Minimum 3 years of experience in Data Science applying Machine Learning (ML) models to real business problems.
  • Solid academic background in quantitative or related fields (e.g., Computer Science, Statistics, Economics, Engineering).
  • Expert mastery of Python (including key libraries such as pandas, NumPy, scikit-learn) and advanced SQL management.
  • Solid foundations in statistics, probability, and ML algorithms.
  • Demonstrable experience working with data models in a production environment.
  • Advanced English level for communication with global teams.

Other

If you require any reasonable adjustment or particular accessibility to attend the interview, please do not hesitate to clarify it in your application. Additionally, feel free to indicate your pronouns (he/she/they) from the first contact.