网易数据科学专家
社招全职5-10年网易游戏(互娱)地点:广州状态:招聘
任职要求
1.本科及以上学历,统计学、数学、计算机科学、数据科学等相关专业优先,5年以上数据分析相关工作经验,有游戏行业或算法相关数据分析经验者优先。 2.具备扎实的数据分析基础,熟悉常用的数据分析方法(如描述统计、推断统计、机器学习相关分析等),能够熟练使用 SQL、Python(Pandas、NumPy、Matplotlib 等)进行数据处理与分析可视化。 3.对游戏行业有浓厚兴趣,了解游戏基本运营逻辑与用户行为特点,熟悉多类型游戏的玩法与系统者优先。 4.具备良好的逻辑思维能力、沟通协调能力与问题解决能力,能够快速理解业务需求并转化为数据分析方案,有较强的责任心与团队合作精神。
工作职责
你负责游戏中算法应用相关的数据分析工作,具体包括但不限于: 1.深入理解游戏内各类算法的应用场景,如推荐算法、匹配算法、AI 行为算法等,做收益可行性分析,确定各模块投产比,并协助产品做好整个业务规划。 2.设计针对AI模块的的数据分析框架与指标体系,精准评估算法效果。 3.持续跟踪算法在游戏运营过程中的表现数据,通过多维度分析(如用户行为、留存率、付费转化等),挖掘算法存在的问题与优化空间,形成专业的数据分析报告,为算法迭代提供数据支持与决策建议。 4.与算法工程师、游戏策划、运营等团队紧密协作,将业务需求转化为数据分析任务,推动数据洞察在实际工作中的落地,促进算法应用与游戏业务的深度融合。 5.探索新的数据分析方法与工具在游戏算法应用场景中的应用,提升数据分析效率与深度,为团队提供数据分析能力支持。
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
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/
机器学习+
https://www.youtube.com/watch?v=0oyDqO8PjIg
Learn about machine learning and AI with this comprehensive 11-hour course from @LunarTech_ai.
https://www.youtube.com/watch?v=i_LwzRVP7bg
Learn Machine Learning in a way that is accessible to absolute beginners.
https://www.youtube.com/watch?v=NWONeJKn6kc
Learn the theory and practical application of machine learning concepts in this comprehensive course for beginners.
https://www.youtube.com/watch?v=PcbuKRNtCUc
Learn about all the most important concepts and terms related to machine learning and AI.
SQL+
https://liaoxuefeng.com/books/sql/introduction/index.html
什么是SQL?简单地说,SQL就是访问和处理关系数据库的计算机标准语言。
https://sqlbolt.com/
Learn SQL with simple, interactive exercises.
https://www.youtube.com/watch?v=p3qvj9hO_Bo
In this video we will cover everything you need to know about SQL in only 60 minutes.
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.
Matplotlib+
https://matplotlib.org/stable/tutorials/index.html
This page contains a few tutorials for using Matplotlib.
https://www.youtube.com/watch?v=c9vhHUGdav0
This video serves as an introduction to the Matplotlib Python library.
https://www.youtube.com/watch?v=OZOOLe2imFo
In this video we do a complete Matplotlib crash course in Python.
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更新于 2025-06-13