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JOB ID 27490

Promoting productivity improvement using generative AI (advanced HR strategies)

  • IT, Software platform
  • Electronics, Research & Development
  • Fukuoka, Tokyo, Aichi
  • ¥6,100,000~¥11,400,000

With strengths in powertrain, driving safety, body technology, and CSS, we are among the world's top five major automotive parts manufacturers.
Based on a stable foundation, we are expanding our business areas into cutting-edge technology development such as software. We also conduct joint development with Toyota Motor Corporation, constantly working on the latest technological developments.

Responsible for developing technology for statistical causal analysis of structured data such as employee engagement surveys and talent data, combined with proposals for measures using generative AI. We are responsible for everything from building causal models to predicting policy effects and visualizing analysis results in an interpretable way.

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Job Description

  • Responsibilities
    [Causal Analysis] Causal structure estimation and policy effect prediction
    using Bayesian networks and others from engagement surveys and talent data [Policy Proposal AI] Department- and job-specific policy proposals using causal models and generative AI, with explainable output design
    [Data Integration Analysis Platform] Integration of heterogeneous HR data, ensuring interpretability, automatic visualization and report
    generation [Advanced Analysis Methods] Optimization of analysis granularity, time-series change tracking, and feedback loop design
    for measures → effectiveness [Team Collaboration] Requirements coordination and knowledge sharing with business departments and external partners
  • Requirements
    ・Over 2
    years of experience designing and developing systems utilizing AI and machine learning ・Experience in application development
    using Python ・Practical experience in proposing measures and decision support based on data analysis
  • Preferred
    ・Experience
    implementing statistical causal reasoning (Bayesian networks, structural equation modeling, etc.) ・Experience in combining generative AI and statistical methods for analysis and policy proposals
    ・Practical experience
    in people analytics and engagement analysis ・Experience visualizing analysis results interpretably ・Experience
    explaining to non-experts ・Cloud environments (AWS/ Experience in application development and environment setup on Azure)
  • Location
    Fukuoka, Tokyo, Aichi
  • Work Style
    Remote working possible, Flex working possible
  • Salary
    ¥6,100,000~¥11,400,000
  • Attractive
    Points
    Average age 30s, Over 50% Mid-Career Hires, Childcare support system, New graduates welcome, Management Position

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