精选DS岗位 | Amazon、Microsoft、BlackRock公司岗位发布！

2023-10-01 02:10

为大家献上今天的精选岗位！

👇👇👇

【BlackRock】

职位：Associate, Data Science

行业分类：Investment management

公司规模：18,400人

工作地点：New York，US

职位要求：

Bachelor's degree in Physics, Financial Engineering, or a related field, and two (2) years of experience as a Research Assistant, Teaching Assistant, or a related role.
Two (2) years of experience with: building models to solve problems, including time series forecasting, and clustering problems; applying statistical and machine learning approaches; using Python and C++ programming language; using data science packages, including pandas, sklearn, numpy, and matplotlib; working with interactive prototyping frameworks including Jupyter; and working with data science pipelines including data cleansing and aggregation, modeling, validation, and
visualization.

职位申请链接（请直接复制至浏览器打开）

https://careers.blackrock.com/job/19164788/associate-data-science-new-york-ny/

【Microsoft】

职位：Data Engineer: Internship Opportunities for University Students, Redmond

行业分类：Information technology

公司规模：221,000人

工作地点：Up to 50% work from home

职位要求：

Required Qualifications

Currently enrolled in a bachelor's or master's degree program in engineering, computer science, or a related field.
Must have at least one additional quarter/semester of school remaining following the completion of the internship.

Preferred Qualifications

One year of experience in business analytics, data science, software development, data modeling, or data engineering work.

职位申请链接（请直接复制至浏览器打开）

https://jobs.careers.microsoft.com/global/en/job/1627631/Data-Engineer%3A-Internship-Opportunities-for-University-Students%2C-Redmond

【Amazon】

职位：Data Scientist, Amazon Fashion

行业分类：Conglomerate

公司规模：1,541,000 人

工作地点：USA, CA, Sunnyvale

职位要求：

BASIC QUALIFICATIONS

3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
2+ years of data scientist experience
3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
Experience applying theoretical models in an applied environment

PREFERRED QUALIFICATIONS