[Skip To Content]

Device Level Analytics (DLA) Engineer

  • Emplacement
    • Bengaluru, Karnataka
  • Horaire Full time
  • Posté

Description

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.

Renseignements sur la diversité

General Motors est résolue à être un lieu de travail qui est non seulement exempt de discrimination illégale, mais aussi un endroit qui favorise véritablement l'inclusion et l'appartenance. Nous sommes convaincus que la diversité de la main-d'œuvre permet de créer un environnement dans lequel nos employés peuvent s'épanouir et développer de meilleurs produits pour nos clients. Nous encourageons les candidats intéressés à consulter les principales responsabilités et compétences requises pour chaque rôle et à postuler à tout poste qui leur correspond. Dans le cadre du processus de recrutement, les candidats peuvent devoir, le cas échéant, réussir une évaluation liée au poste ou une présélection d'emploi avant d'être embauchés.  Pour en savoir plus, consultez notre processus de recrutement.

Déclaration concernant l'égalité d'accès à l'emploi (É.-U.)

General Motors est fière d'être un employeur souscrivant au principe de l'égalité d'accès à l'emploi.  Tous les candidats qualifiés seront pris en compte, sans égard à la race, à la couleur, à la religion, au sexe, à l'orientation sexuelle, à l'identité de genre, à l'origine ethnique, aux situations de handicap ou au statut protégé d'ancien combattant. 

Aménagements (É.-U. et Canada)

General Motors offre des occasions à tous les chercheurs d'emploi, y compris les personnes handicapées. Si vous avez besoin d'un accommodement raisonnable pour vous aider dans votre recherche d'emploi ou la soumission de votre candidature, envoyez-nous un courriel à l'adresse Careers.Accommodations@GM.com ou appelez-nous au 800 865-7580. Veuillez inclure dans votre courriel une description spécifique du type d'accommodement demandé, ainsi que le titre d'emploi et le numéro de demande du poste auquel vous postulez.