User Operations Intern

Mexico City, MEX, Mexico

DiDi Global

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Company Overview

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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Team Overview

As a Data Automation & Personalization Specialist at DiDi Food, you will be a key player in shaping our user-centric communication strategy by building automated systems, smart algorithms, and insightful visualizations. Your core mission will be to translate complex datasets into actionable strategies that drive personalization, improve efficiency, and enhance the overall food delivery experience for millions of users.

Role Responsibilities

  • Algorithm Development & Automation

    • Develop and implement algorithms using Java and other scripting languages to automate repetitive workflows across user comms, campaign setups, and targeting logic.

    • Design rule-based and machine learning models to support personalization and segmentation.

  • Data Analysis & Strategy

    • Analyze large datasets to uncover insights about user behavior, preferences, and content performance.

    • Partner with cross-functional teams to turn data insights into communication strategies that enhance user engagement and conversion.

  • Data Visualization & Reporting

    • Create dashboards and visual tools in Excel, Google Sheets, or BI platforms (e.g., Tableau, DataStudio) to track performance metrics, identify trends, and support data-driven decision-making.

    • Present findings clearly and effectively to stakeholders across business and tech teams.

  • Process Optimization

    • Identify bottlenecks in current processes and build tools to streamline campaign planning, content delivery, and data verification.

    • Work with internal systems to ensure data accuracy, alignment between platforms, and reliability for automated pipelines.

  • User-Centric Personalization

    • Develop logic to dynamically personalize in-app and push communications based on user history, category interest, and behavioral triggers.

    • Evaluate A/B tests and user feedback to continuously improve targeting and messaging precision.

Role Qualifications

  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Applied Math, or a related field.

  • Solid understanding of Java (basic to intermediate level).

  • Comfortable writing SQL queries and working with structured data.

  • Basic knowledge of Python for data analysis (e.g., pandas, numpy).

  • Strong analytical thinking and curiosity to explore data patterns.

  • Familiarity with Excel/Google Sheets and data visualization (any experience with Tableau, Looker, or Python plots is a plus).

  • Eagerness to learn and work in a fast-paced, collaborative environment.

EEO Statement

 

  • 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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Tags: A/B testing Computer Science Data analysis Data visualization Engineering Excel Java Looker Machine Learning Mathematics ML models NumPy Pandas Pipelines Privacy Python SQL Tableau

Perks/benefits: Career development Flex hours

Region: North America
Country: Mexico

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