Job Detail

Requistion Title

Inseriert am: 31.05.2021

Digital Intern - Data Science (60 - 100%)

Posted Date 1 month ago(5/31/2021 5:06 AM)


Job Code


DJOB




Country


Switzerland




Function


Digital




City


Holderbank




# of Openings


1


Overview


Who we are: We supply building materials to solve the challenges facing a growing population. We also



  • make our global footprint – from quarry to construction site – digitally accessible and transparent

  • use digital skills and analytics to drive scale and efficiency across our network

  • use data science, machine learning to build up predictive capabilities across our network

  • find the most impactful technologies by reaching out to the open innovation community

  • technological transformation through open innovation, helping to solve global challenges: LH MAQER.

  • We, the MAQERs are open-minded, pragmatic and not stuck on any preconceived notions.


We are growing! And would like YOU to #BEaMAQER Digital Intern in the area of Data Science, Machine Learning, Artificial Intelligence. The role is all around applying data science, machine learning on manufacturing process, supply chain management, demand forecasting and predictive analytics. If you interested in working for a start-up minded unit sitting in a global corporation, we are the right team for you!


Responsibilities



  • Apply statistical and machine learning models on supply chain management

  • Enhance existing data science solutions with new algorithms, feature engineering and do benchmarking.

  • Scale data science solutions to new markets and communicate the findings.

  • Develop and implement a full data science pipeline (e.g., data preprocessing, modeling, performance reporting, and deploy on AWS).


Education/Qualifications



  • Master degree (in progress)


Experience



  • Data science, Analytics (Python programming & python data science libraries)

  • AWS Cloud

  • Digitalization


Knowledge & Skills



  • Open-minded curious person, self-driven

  • Critical thinking and good root-cause analysis

  • Strong in time-series analysis, Machine Learning algorithms, forecasting algorithms

  • Thinking out of the box and creative problem solving

  • Good communication skills, ability to work in an international environment


Language Requirements

Fluency in English is essential

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