精选DS岗位 | Intel、Grainger、CVS Health公司岗位发布!
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【Grainger】
职位:Data Scientist
行业分类:Industrial supply distribution
公司规模:24,200 (2021)
工作地点:LAKE FOREST, IL, US, 60045-5201 Hybrid, IL, US, N/A CHICAGO, IL, US, 60603-4013
2+ years of experience in analytics and data science roles or advanced degree
BS, MS, or PhD in a technical field such as Statistics, Mathematics, Data Science, Applied Analytics, Operations Research, Applied Science or Engineering
Proficient in usage of databases (e.g. Teradata, Snowflake, Oracle) and querying languages (e.g. SQL)
Experience with the following programming languages: Python, R, SPSS, or SAS
Experience working with very large structured and unstructured datasets
Experience with data visualization techniques
Experience with multi-variate linear regression, logistic regression, and time series modeling
Experience with statistical design of experiments, outlier detection methods, and statistical hypothesis testing
Experience translating analytical work into presentations (e.g. PowerPoint) suitable for non-technical audiences.
Experience with clustering and dimension reduction techniques
Experience with classification, gradient-boosting, and natural language processing algorithms
Experience using cloud-based machine learning resources such as those from AWS
行业分类:Managed healthcare&Health insurance&Pharmacy
公司规模:300,000 (2021)
工作地点:MA - Wellesley;Work At Home-New York;NY - New York
1+ years of relevant analytic experience
Experience programming using R or Python
Experience in SAS or SQL
【Intel】
职位:Undergraduate Internship - Data Science (Bachelors)
行业分类:Semiconductors,Computer hardware,Autonomous cars,Automation,Artificial intelligence
公司规模:131,900 (2022)
工作地点:Phoenix, Arizona, United States| Albuquerque, New Mexico, United States| Hillsboro, Oregon, United States| Austin, Texas, United States| Folsom, California, United States| Santa Clara, California, United States| Atlanta, Georgia, United States
职位要求:
Education:
Candidate must be pursuing a Bachelor's degree in Data Science with 3+ months of educational or industry experience.
Discipline in: Data Science
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