精选DS岗位 | Capital One、Rivian、IBM公司岗位发布！
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【Capital One】
Basic Qualifications
Bachelor’s Degree
At least 2 years of experience in application development (Internship experience does not apply)
At least 1 year of experience in big data technologies
Preferred Qualifications:
3+ years of experience developing data pipelines using Python or Scala
2+ years of experience with distributed computing tools (Spark, EMR, Hadoop)
2+ years of experience with UNIX/Linux including basic commands and shell scripting
1+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
1+ years of data warehousing experience (Redshift or Snowflake)
1+ years of experience with Agile engineering practices
https://capitalone.wd1.myworkdayjobs.com/en-US/Capital_One/job/McLean-VA/Data-Engineer_R174091-1
【Rivian】
职位：Data Engineering and Analytics, Summer 2024 Internships
行业分类：Automotive, Energy storage
公司规模：11,500 (March 2022)
工作地点：Irvine, California
职位要求：
Must be currently pursuing a bachelors, masters, or PhD degree
Actively pursuing a degree or one closely related in Data Analytics, Data and Machine Learning, Mechanical, Computer Science, Industrial, Electrical Engineering or similar.
Expereince with extract, transform, load procedures, preferred
Experience with SQL-based query construction, preferred
Ability to leverage expertise in data gathering, analytical, and problem-solving work, required.
Ability to apply critical thinking to a wide variety of problem, required.
Must have excellent written and verbal communication skills
Must be available full-time, 40 hours to complete the internship requirements.
【IBM】
Implementing and validating predictive and prescriptive models, creating and maintaining statistical models with a focus on big data
Incorporating a variety of statistical and machine learning techniques
Writing programs to cleanse and integrate data in an efficient and reusable manner
Using leading edge and open-source tools such as Python, R, and TensorFlow, combined with IBM tools
Working in an Agile, collaborative environment and partnering with other data scientists, engineers, and consultants to bring analytical rigor and statistical methods to the challenges of predicting behaviors
Communicating with internal and external clients to understand and define business needs and appropriate modelling techniques to provide analytical solutions
Evaluating modelling results and communicating the results to technical and non-technical audiences
https://careers.ibm.com/job/19191908/summer-2024-data-scientist-intern-ibm-consulting-commercial-remote/?codes=WEB_SEARCH_NA
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