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Novelis CI Data Scientist in Oswego, New York

Role Overview

Novelis is looking for an Operations Data Scientist in Oswego to leverage operations domain and process expertise to analyze data in order to accelerate the development of impactful digital models.

Why has this role been created?

Novelis started on its Digital Advanced Analytics journey in October 2018. The core objective of this initiative is to leverage plant level data to further optimize our operations and move towards a more data-driven operating model.

The discipline of Data Science is essential to unlocking the insights and actions found in our operational data. Data Scientists are required to assess large quantities of data and apply advanced mathematical techniques to form actionable insights from the data. At Novelis, we have found that having operations domain and process expertise in the data that is being analyzed is an accelerator in defining impactful models.

Role Responsibilities

  • Through collaboration with operations leadership, defines technical problem statements and determine hypotheses to test

  • Develops Minimum Viable Product (MVP) advanced analytic models; structures data, codes models, designs, creates, and tests models

  • Collaborates with COE Data Scientist to create productionized advanced analytic models, creating requirements to convert MVP models into deployment and production

  • Ensures model performance meets operational requirements by testing for regular maintenance of solutions, monitoring and communicating changing operational conditions, and fine-tuning and retraining production models

  • Translates and interprets findings for non-analytical or statistically adept colleagues

    Promotes Data Science discipline and techniques within the plant

Qualifications

  • 3-5 years of process engineering, automation, or operations experience

  • Technical degree in an engineering, mathematics, statistics or related discipline

  • Participation in at least one advanced analytics use case

  • Completed Data Science Advanced Analytics training

  • Aptitude and desire to learn advanced analytics programming tools and techniques

  • Ability to apply critical thinking and work on a team to solve complex problems

  • Understanding of statistical analysis techniques such as distributions and linear regressions

  • Experience with analysis tools such as Excel, PowerBI, MiniTab, Python

  • Exposure to programming languages such as SQL, MatLab, R, Python

  • Understanding of various data structures such as .CSV files, relational databases

  • Experience in metals manufacturing, particularly in the areas of process, quality and reliability

  • Willingness to complete Data Science educational program for which Novelis will provide financial support

Preferred Qualifications

  • Master’s degree or other advanced degree

iCIMS Requisition Number: 2019-30189

Street: 448 County Route 1A

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