滴滴国际事业群IBG-IBG Marketplace-算法实习生
实习兼职技术类地点:杭州状态:招聘
任职要求
学历背景 在读本科生(大三/大四优先)或硕士研究生,专业为统计学、应用数学、经济学、数据科学、计算机科学或相关量化学科。 专业技能 熟悉数据分析工具和编程语言,如Python(pandas, numpy, scikit-learn)、SQL、 Spark。 了解时间序列分析、回归分析或机器学习基本算法(如ARIMA、LSTM、Infomer等)。 具备基本的统计学和概率论基础,能够理解和应用供需预测模型。 具备较强的逻辑思维能力和数据敏感性,能够从复…
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工作职责
1.宏观供需预测相关数据分析,评估现有模型预测效果,对badcase进行深入分析,引导下一轮迭代优化 2.宏观供需预测算法开发优化,结合业界前沿案例,实现市场指标预估的优化提升,优化特殊日期,天气下预估效果 3.根据业务需求,进行制定指标未来6周,小时/天/周维度的预测
包括英文材料
学历+
数据科学+
https://roadmap.sh/ai-data-scientist
Step by step roadmap guide to becoming an AI and Data Scientist
数据分析+
[英文] Data Analyst Roadmap
https://roadmap.sh/data-analyst
Step by step guide to becoming an Data Analyst in 2025
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文,免费,零起点,完整示例,基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
Pandas+
[英文] 10 minutes to pandas
https://pandas.pydata.org/docs/user_guide/10min.html
This is a short introduction to pandas, geared mainly for new users.
[英文] Cookbook - pandas
https://pandas.pydata.org/docs/user_guide/cookbook.html#cookbook
This is a repository for short and sweet examples and links for useful pandas recipes.
https://www.kaggle.com/learn/pandas
Solve short hands-on challenges to perfect your data manipulation skills.
https://www.youtube.com/watch?v=2uvysYbKdjM
I'm super excited for this one. We're doing another complete Python Pandas tutorial walkthrough.
https://www.youtube.com/watch?v=Mdq1WWSdUtw
Filtering, Joins, Indexing, Data Cleaning, Visualizations
NumPy+
https://numpy.org/doc/stable/user/absolute_beginners.html
NumPy (Numerical Python) is an open source Python library that’s widely used in science and engineering.
[英文] NumPy - Learn
https://numpy.org/learn/
Below is a curated collection of educational resources, both for self-learning and teaching others, developed by NumPy contributors and vetted by the community.
https://www.kaggle.com/code/themlphdstudent/learn-numpy-numpy-50-exercises-and-solution
This kernel uses exercises of NumPy from the Machine Learning Plus webpage
https://www.youtube.com/watch?v=KHoEbRH46Zk
If you've heard of Pandas and NumPy, you may think one is simply a superset of the other.
https://www.youtube.com/watch?v=QUT1VHiLmmI
Learn the basics of the NumPy library in this tutorial for beginners.
https://www.youtube.com/watch?v=VXU4LSAQDSc
This video serves as an introduction to the NumPy Python library.
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相关职位
实习技术类
1.参与滴滴国际化数据体系建设 2.参与数据采集、ETL、建模、开发、分析等标准化搭建 3.参与数据体系化流程化治理 4.参与业务问题拆解、转化、沟通与解决赋能
更新于 2025-08-18北京