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Device Level Analytics (DLA) Engineer

  • 위치
    • Bengaluru, Karnataka
  • 일정 Full time
  • 게시됨

설명

Work Arrangement

This position is based at GM Technical Centre India - Bengaluru

The Role

Global Manufacturing Engineering at GMTCI is a bridge between Global Manufacturing Plants & Global Product Engineering in getting the Product & Process Right. GMTCI’s strategy is to “Execute Design / Simulation / Virtual / Engineering Workshare for the Globe + Enable Factory for the Future”

This position of Manufacturing Data Analytics Engineer is a Mfg 4.0 initiative in ME Vehicle Systems Automation Group which is primarily responsible for applying Data Analytics techniques on GM manufacturing processes in manufacturing plants Regionally & Globally to solve complex manufacturing business problems with big data. In this position, the engineer supports critical business operations and decision making through creation of high quality and automated reports, business intelligence and business process visualization.

This is primarily a non-travel job. Business Travel will be necessary on special requirements and will be for a short duration. Depending on the need, there will be an International Short-Term assignment for 6 months in the first year for training & development.

What You’ll Do

  • Collaborate with plant team, IT, and analytics community to capture, prioritize, and document data analytic requirements and drive measurable results.
  • Pull data using existing reporting tools, analyze, perform testing, and validate the results.
  • Analyze large amounts of data to discover trends and patterns.
  • Determine the meaning of data and explain how various teams and leaders can leverage it to improve and streamline their processes.
  • Develop proof of concept to solve complex manufacturing problems.
  • Propose solutions and strategies to business challenges that drive business impact.
  • Monitor Device Level Analytics system health, report and followup with responsible teams.
  • Write user stories and framework for IT development team to implement POC (Proof of Concept) and solutions developed.
  • Present complex information using data visualization techniques.
  • Provide training and guidance to business partners focused on data analysis methodology reporting and tools.

[Additional Description]

Your Skills & Abilities (Required Qualifications)

Knowledge:

  • Proficient in python (preferred) or any object-oriented programming languages.
  • Skilled in working with data, explaining patterns in data, extracting useful information from data, and suggesting conclusions that support decision making.
  • Skilled in applying statistical techniques, analytical tools, Machine Learning and Artificial Intelligence packages such as python pandas, numpy, scikit-learn, plotly, pytorch, keras, pyspark, etc.
  • Skilled in using PowerBI, SQL Server, git, agile project management, Hadoop, Spark, Docker, Kubernetes, TFS, etc.
  • Experienced in automotive production process, industrial automation, throughput analysis, and industrial engineering will be added advantage.

Skills:

  • Ability to learning on the fly.
  • Excellent collaboration & ability to build relationships.
  • Process driven mindset.
  • Excellent Project Management skills in agile environment.
  • Go beyond the industry norm and demonstrate creativity in problem solving, ability to think dynamically and outside of standard convention, and adapt quickly to new technical areas.

What Will Give You A Competitive Edge (Preferred Qualifications) ​  

Abilities:

  • Ability to work with intercultural, multi-disciplinary & remote teams to achieve functional goals.
  • Ability to organize, plan, prioritize and execute projects with a keen attention to details.
  • Willingness to travel across regions for executing projects whenever required.

Educational Qualifications:

  • Masters / Degree in Automotive technology, Mathematics, Statistics, Computer Science, or information technology.

다양성 정보

General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다.  자세한 정보는 GM 채용 과정 안내를 참고하십시오.

공평한 취업 기회 선언 (미국)

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숙소 (미국 및 캐나다)

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