精选DS岗位 | NVIDIA、Lyft、Capital One等公司岗位发放！

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【NVIDIA】

• Pursuing a BS, MS, or PhD degree from a leading university in an engineering or computer science related discipline. Specialization in high-performance databases or machine learning is helpful.

• Programming fluency in C/C++ with a deep understanding of parallel data structures, programming techniques, and algorithms. While not a requirement, experience with Python is useful.

• Strong mathematical fundamentals, including linear algebra and numerical methods.

• Experience with parallel programming, ideally CUDA C/C++.

• Experience with advanced memory management, memory coherence, and data compression is helpful.

https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Developer-Technology-Intern--Data-Analytics---Summer-2024_JR1971214?locationHierarchy1=2fcb99c455831013ea52fb338f2932d8&locationHierarchy1=2fcb99c455831013ea529c3b93ba3236&jobFamilyGroup=0c40f6bd1d8f10ae43ffaefd46dc7e78&jobFamilyGroup=0c40f6bd1d8f10ae43ffc668c6847e8c&jobFamilyGroup=0c40f6bd1d8f10ae43ffb5dd06f47e7e&jobFamilyGroup=0c40f6bd1d8f10ae43ffc8817cf47e8e&jobFamilyGroup=0c40f6bd1d8f10ae43ffda1e8d447e94&workerSubType=0c40f6bd1d8f10adf6dae42e46d44a17

• Degree in a quantitative field such as statistics, economics, applied math, operations research or engineering (advanced degrees preferred), or relevant work experience

• 3+ years of industry experience in a data science or analytics role

• Proficiency in SQL - able to write structured and efficient queries on large data sets

• Experience in programming, especially with data science and visualization libraries in Python or R is helpful

• Experience in online experimentation and statistical analysis

• Strong oral and written communication skills, and ability to collaborate with and influence cross-functional partners

https://app.careerpuck.com/job-board/lyft/job/6977839002

【Capital One】

职位：Data Engineer

行业分类：Financial services

公司规模：50,800 (2021)

工作地点：McLean, VA；Cambridge, MA；Richmond, VA

职位要求：

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_R176557

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