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Data Analytics Project Manager - Industry 4.0

DATE2019-04-10
JOBFAMILIEINDUSTRIAL
LANDFrance
LOCATIONSAINTE-JULIE
CONTRACT TYPELong Term-At will
DIVISION Intelligent Exterior Systems

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  • Implement data analytics in order to improve efficiency and productivity of PO Intelligent Exterior Systems core process: plastic injection, painting and assembly technology (bonding, welding, clipping, screwing…)<
  • Develop methods to be implemented in the organization for Predictive Quality and Predictive Maintenance< <

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    Activities: <

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    On his/her perimeter of responsibility:<

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  • Implement data analytics for  PO –IES core process to improve process efficiency & productivity< < <
  • Understand PO-IES core process: plastic injection, painting and assembly<
  • Assess & define data needed with Process Experts to achieve the productivity & efficiency goals<
  • Ensure delivery or right data to database by Data Collection Engineer : quality parameter outputs and process parameter inputs<
  • Extract relevant features & indicators from raw data (high frequency signals, geometry measures, images…)<
  • Reconciliate & contextualize data on relevant parameters (Unique ID, timeline…)<
  • Apply relevant analytic methods with appropriate tools & algorithm (SPC, Multivariate SPC, probalistic approach, machine learning, AI…)<
  • Analyse results with plants & experts in order to make relevant recommendation<
  • Build predictive model & apply close loop control when possible<
  • Teach process engineers in central department and plants basis of data analytics to
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    • Develop methods, organization & tools for predictive quality & predictive maintenance :
    • Define the right methodology for data analytics on manufacturing process<
    • Benchmark different tools & platform to achieve relevant analytics<
    • Implement tools & methodology in the plants & departments<
    • Measure progress & results to improve< <

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    • Ensure adhesion of future plant teams & departments to the technologies implemented by identifying the skills and competence needed and elaborating the proper training modules< <

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      Profile: <

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      Educational background: Master’s degree in Automation, Data Science, Engineering, or Manufacturing <

      Proficient in English language<

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      Skills: Data analytics in industry experience, Team player and project management skills<

      New technologies & digitalization affinity<

      Result, productivity, continuous improvement & lean manufacturing oriented<

      Capacity to explain and teach on Data Acquisition topics< <  <

      Previous Experience: in data analytics applied to production<

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