Pour notre client qui est un équipementier automobile international de rang 1, nous recherchons un/ une Data Analytics Project Manager - Industry 4.0

À ce titre, vous aurez pour principales missions de :

  • Implement data analytics in order to improve efficiency and productivity of 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



  • Implement data analytics for core process to improve process efficiency & productivity
    • Understand 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, Mulitvariate 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
  • 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
  • Ensure adhesion of future plant teams & departments to the technologies implemented by identifying the skills and competence needed and elaborating the proper training modules


Educational background: Master’s degree in Automation, Data Science, Engineering, or Manufacturing - Proficient in English language


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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