滴滴27届秋招-Data Analyst(国际化Intl DS)
校招全职商分-数据科学地点:上海状态:招聘
工作描述
岗位职责:
Team Overview
The International Data Science (DS) team at DiDi’s International Business Group (IBG) serves as the global analytical and scientific engine driving data-informed decisions across international mobility markets.
As a cross-regional and cross-functional team, we partner closely with Product, Algorithm, Engineering, and Operations teams to transform complex data into actionable insights, scalable strategies, and intelligent systems that continuously enhance our user experiences.
Our work spans multiple layers — from building and maintaining robust data infrastructure and standardized metrics that ensure data consistency and accessibility, to developing scientific evaluation frameworks that support business decisions enabled by rigorous experimentation, and causal inference modelling.
At the business application level, we focus on developing and optimizing core mechanisms of various aspects in mobility business — including marketplace strategies, resources allocation, platform service and user experiences — to improve financial efficiency and drive sustainable growth.
As part of the team, you’ll dive deep into decision-making support, strategy evaluation, and business impact analysis, ensuring every strategic choice is grounded in data and delivers real-world results. We bridge quantitative rigor with business intuition to foster innovation, operational excellence, and meaningful impact across DiDi’s global mobility markets.
Responsibilities
As a Data Analyst/Scientist within DS, you will drive impact across five core areas: strategy modeling and optimization, marketplace dynamics analysis, experimentation and evaluation, strategy enablement, and cross-functional collaboration.
Your mission is to ensure that strategic initiatives are g…登录查看完整工作描述
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包括英文材料
算法+
https://roadmap.sh/datastructures-and-algorithms
Step by step guide to learn Data Structures and Algorithms in 2025
https://www.hellointerview.com/learn/code
A visual guide to the most important patterns and approaches for the coding interview.
https://www.w3schools.com/dsa/
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