Pubblicato su stage4eu il: 25/06/2020 Avery Dennison, Internship: Data Science

Avery Dennison Corporation
Willem Einthovenstraat 11, Oegstgeest, Paesi Bassi
Statistica/Data analysis
Almeno 5 mesi. Inizio: 1 settembre 2020 
410 euro mensili
Posti disponibili Non specificato
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Attività:

 

Possible Responsibilities Include:

 

Solutioning

  • Data mining current data streams and gather data from other sources

  • Enhancing data collection procedures to include information that is relevant for building analytic systems

  • Processing, cleansing, and verifying the integrity of data used for analysis

  • Research, train, and test models including feature selection, building and optimizing classifiers, predictive using machine learning techniques

Innovation

  • Identify improvements to current processes and investigate future opportunities to the various functions in the organisation

  • Support strategic efforts to engage the wider organization in this space

Partnership

  • Establish and maintain a strong working relationship with our key business users to support increasing their use of data science to improve operational and financial performance

  • Deliver results in a partnering and collaborative style by influence stakeholders

  • Manage testing cycles

  • Provide training and coaching services to key users on the built solutions. 

  • Doing ad-hoc analysis as required and presenting results in a clear manner

Requisiti principali:

 

Pursuing a Master’s (preferred) or Bachelor's Degree (required) in Business Analytics, Mathematics, Statistics, Computer Science, or equivalent degree with a data science focus is required. Expected to graduate in 2021. Applicants need to be registered as students at a university for the whole duration of the internship.

  • Experience with at least one of the following: Python, R, STATA, MatLab, etc. 

  • Experience with SQL

  • Familiarity around common packages for data wrangling/munging, testing/analysis, and visualizations 

  • Excellent applied statistics skills, such as distributions, statistical testing, statistical modeling, etc.

  • Excellent understanding of machine learning techniques and algorithms.

  • Data-oriented personality.

  • Excellent communication and partnering skills 

  • Fluency in English

  • Nice to haves: Exposure to Business Intelligence tools (Oracle BI, Cognos, Tableau, etc.), Docker

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