精选DS岗位 | Amazon、Apple、IBM公司岗位发布!
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【Amazon】
职位:Data Scientist
Modeling, research design experience
MS in one of the following disciplines: Computer Science, Statistics, Data Science, Economics, Applied Math, Operational Research or a related quantitative field
3 yrs relevant experience; or, PhD +1 yr relevant experience
Fluent in SQL, Python
Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms
Big Data Engineering with Spark / AWS EMR & Glue
Experience with Agile Software Development
【Apple】
职位:Data Scientist - Wallets, Payments and Commerce
Working knowledge of relational databases, including SQL, and large-scale distributed systems such as Hadoop
Ability to implement data science pipelines and applications in a general programming language such as Python, Scala, or Java
Practical experience with and theoretical understanding of ML algorithms for classification, regression, clustering, and anomaly detection
Ability to extract significant business insights from data and identify the roots behind the patterns
Communication skills for communicating complex quantitative analyses to senior business executives
Minimum of bachelor’s degree, preferably in engineering, economics, statistics, computer science, or related quantitative field. Advanced degree in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
职位:Data Scientist – Entry Level 2024
行业分类:Information technology
公司规模:282,100人
工作地点:Atlanta、San Francisco、Chicago、New York、Dallas
职位要求:
B.S./M.S. in Computer Science, Data Science, Math, Statistics, Engineering or equivalent technical degree/experience.
Working knowledge in Python, R, SQL or language in similar discipline.
Demonstrate a growth mindset; current on technical growth in the data science space.
Conversant about technology, industry trends and how it is being applied to address business challenges.
Professional verbal, written, and interpersonal skills.
Proven team collaboration and leadership.
Readiness to travel up to 50% annually.
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