精选DS岗位 | Adobe、Tesla、Amazon公司岗位发布！

2023-10-30 02:10

为大家献上今天的精选岗位！

👇👇👇

【Adobe】

职位：2024 Intern - Data Scientist

行业分类：Software

公司规模：25,988 (2021)

工作地点：San Jose, California, United States of America

职位要求：

Currently enrolled full time and pursuing a MS degree in Statistics, Mathematics, Engineering or related fields are strongly preferred; or equivalent experience required
Skilled in SQL and R/Python
Understanding of statistical analysis, machine learning, data mining, and a track record solving problems with these methods.
Ability to apply statistical/machine learning techniques such as hypothesis testing, time series, forecasting, linear and logistic regression, random forest, etc.
Ability to participate in a full-time internship between May-September

职位申请链接（请直接复制至浏览器打开）

https://careers.adobe.com/us/en/job/R139250/2024-Intern-Data-Scientist

【Tesla】

职位：Data Scientist, Used Cars

行业分类：Automotive,Artificial intelligence,Renewable energy

公司规模：127,855 (December 2022)

工作地点：Fremont, California

职位要求：

MS. or 2+ years of equivalent experience in a quantitative field (e.g., Data Science, Applied Mathematics, Business Analytics, Operations Research, Statistics, Computer Science, Artificial Intelligence, Economics or Engineering) or equivalent
Proven track record of extracting data insights and building ML models and, especially in business analytics or related domain
Expert in SQL and Python, especially in standard data science libraries and frameworks such as pandas, numpy, scikit-learn, Tensorflow/PyTorch, PySpark, etc
Proficiency in one or more visualization tools such as Tableau, Streamlit etc
Experience in a fast-paced environment highly desired

职位申请链接（请直接复制至浏览器打开）

https://www.tesla.com/careers/search/job/data-scientist-used-cars-212115

【Amazon】

职位：Data Engineer Internship – 2024 (US)

行业分类：Conglomerate

公司规模：1,541,000 (December 2022)

工作地点：USA, WA, Seattle

职位要求：

Design, implement, and automate deployment of our distributed system for collecting and processing log events from multiple sources.
Design data schema and operate internal data warehouses and SQL/NoSQL database systems.
Own the design, development, and maintenance of ongoing metrics, reports, analyses, and dashboards that engineers, analysts, and data scientists use to drive key business decisions.
Monitor and troubleshoot operational or data issues in the data pipelines.
Drive architectural plans and implementation for future data storage, reporting, and analytic solutions.
Develop code based automated data pipelines able to process millions of data points.
Improve database and data warehouse performance by tuning inefficient queries.
• Work collaboratively with Business Analysts, Data Scientists, and other internal partners to identify opportunities/problems.
Provide assistance to the team with troubleshooting, researching the root cause, and thoroughly resolving defects in the event of a problem.