Avery Dennison

Internship: Data Scientist

Machine Learning Python NumPy Pandas R SQL
Description

公司描述

Avery Dennison (NYSE: AVY) is a global materials science company specializing in the design and manufacture of a wide variety of labeling and functional materials. The company’s products, which are used in nearly every major industry, include pressure-sensitive materials for labels and graphic applications; tapes and other bonding solutions for industrial, medical, and retail applications; tags, labels and embellishments for apparel; and radio frequency identification (RFID) solutions serving retail apparel and other markets. Headquartered in Glendale, California, the company employs more than 36,000 employees in over 50 countries. Reported sales in 2022 were $9.0 billion. Learn more at www.averydennison.com

职位描述

  • Build machine learning models (training, validation, and testing) with appropriate solutions for data reduction, sampling, feature selection, and feature engineering
  • Design and evaluate experiments (including hypothesis testing) by creating key data sets
  • Apply data mining or NLP techniques to cleanse and prepare large data sets
  • Perform exploratory data analysis to understand ecosystems, behavioral trends, and long-term trends
  • Help grow the Data Science function by defining and socializing best practices, particularly within a DataOps and MLOps data ecosystem
  • Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review
  • Communicate with business partners to understand their needs to help develop new strategic insights
  • Define, collaborate, and communicate key influences, levers, and impacts to non-technical audiences
  • Partner with and support Citizen Data Scientists

职位要求

  • Experience with developing machine learning models for production use
  • Experience with executing and presenting predictive analytics projects
  • Familiarity with the CRISP-DM analytics development model
  • Experience working with a variety of statistical and machine learning methods (time series analysis, regression, classification, clustering, survival analysis, etc)
  • Professional experience with python including python data libraries (numpy, pandas, matplotlib, scikit-learn), or R
  • Deep understanding of SQL and its use in Databases, Data Warehouses and in business intelligence tools
  • Working knowledge of statistics
  • Comfort working in a highly agile, intensely iterative environment
  • Positive and solution-oriented mindset
  • Effective communication skills: Regularly achieve consensus with peers, and clear status updates

其他信息

AVERY DENNISON IS AN EQUAL EMPLOYMENT OPPORTUNITY PROVIDER. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or other protected status.

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