Job Locations MX-MEX-Mexico City

ID 2026-20384

Category

Intern

Employee Class

Intern

DiDi Global Inc. is the world’s leading mobility technology platform. It offers a wide range of app-based services across markets including Asia-Pacific, Latin America and Africa, including ride hailing, taxi hailing, chauffeur, hitch and other forms of shared mobility as well as auto solutions, food delivery, intra-city freight, and financial services.

DiDi provides car owners, drivers, and delivery partners with flexible work and income opportunities. It is committed to collaborating with policymakers, the taxi industry, the automobile industry and the communities to solve the world’s transportation, environmental and employment challenges through the use of AI technology and localized smart transportation innovations. DiDi strives to create better life experiences and greater social value, by building a safe, inclusive and sustainable transportation and local services ecosystem for cities of the future.

For more information, please visit: www.didiglobal.com/news

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Being part of the Operations team gives you a unique opportunity to help drive growth at one of the fastest-growing companies in the region. This highly quantitative role requires a powerful combination of mathematical intuition, technical coding proficiency, and business acumen.

You will work closely with a high-performing team to launch, scale, and optimize DiDi’s business across Latin America using data as your primary lever. Be prepared for a fast-paced, dynamic, and highly challenging environment. There is never a dull moment!

In this role, you will build the analytical foundation and scalable data tools that oversee critical growth initiatives across the business. Your mathematical models, automated processes, and data pipelines will directly contribute to DiDi’s expansion and success in LATAM.

We believe in giving our team members a level of ownership and responsibility that is above and beyond the norm. From day one, you will have the autonomy to make an impact, contribute analytical insights, and drive data-backed strategic decisions that shape the future of the business.

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  Building and maintaining scalable data pipelines to streamline data collection and fuel automated decision-making processes across multiple markets.

  
  


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  Designing and implementing a scalable A/B testing framework to scientifically evaluate business strategies and product features.

  
  


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  Automating critical data processes and workflows to eliminate operational bottlenecks and improve team efficiency.

  
  


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  Leveraging advanced analytics and statistical modeling to translate complex datasets into deep insights regarding business and product indicators.

  
  


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  Partnering cross-functionally with Strategy, Marketing, Product, and core Data teams to ensure robust experimental design and data integrity.

  
  


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  Balancing theoretical rigor with swift execution—we need models and tools that are mathematically sound, but also built to scale quickly in a dynamic environment.

  
  

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  Academic Background: Currently enrolled in Applied Mathematics, Statistics, Actuarial Science, Data Science, Computer Science, or a highly quantitative engineering field.

  
  


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  Technical Proficiency: Strong hands-on experience with Python and SQL for data manipulation, automation, and analysis (required).

  
  


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  Analytical Depth: Solid understanding of statistical analysis, hypothesis testing, and quantitative modeling. Experience or interest in Machine Learning frameworks is a major plus.

  
  


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  Problem-Solving Skills: A creative approach to dismantling complex, ambiguous issues using logical, data-driven frameworks.

  
  


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  Communication: Ability to translate complex algorithmic or statistical concepts into clear, actionable business recommendations for diverse stakeholders.

  
  


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  Languages: Proficiency in English & Spanish.

  
  

• We create customer value – We strive to always create valuable experiences for our users in everything we do. Our focus is to always innovate new experiences that are safe, pleasant, and efficient.


• We are data-driven – We are strong believers in making informed decisions, that’s why we are data-driven. We can better navigate the business landscape strategically by analyzing valuable metrics.


• We believe in Win-win Collaboration – Success is a team sport. When we work to help our partners and colleagues win, we win, too. While keeping everyone's best interest at heart, we communicate with candor and execute with excellence in all we do.


• We believe in integrity – Integrity is at the very core of our business. We are people who always want to do the right thing. Our intentions are sincere, we speak our minds and listen to each other.


• We always strive to do better. That means venturing beyond our comfort zones, learning from our mistakes, and helping each other grow.


• We believe in Diversity and Inclusion – Diversity is one of our biggest strengths. Our differences are what makes us distinct. We respect each other and believe in equal opportunities for all.

We are committed to building inclusive and diverse teams.

At DiDi, we believe that our differences are our biggest source of strength. That‘s why we are committed to promoting equal opportunities to all candidates and employees as an Equal Opportunity Employer.

Employment and advancement decisions at DiDi are always made based on the needs of the position and the qualifications of the candidate. We do not discriminate against any employee or applicant based on their gender, age, sexual orientation, nationality, marital status, pregnancy/maternity, disability, race, religion and beliefs, or any other status protected by applicable laws wherever we operate.

We are committed to building inclusive and diverse teams, and a workplace that is free from discrimination and harassment, because that’s how we create better products and services, make better decisions and better serve the communities we’re a part of.

I acknowledge that prior to submitting this application, I have read and accepted the Privacy Notice for Candidates which is available on https://careers.didiglobal.com/terms

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