[Tech] Data Scientist - Data Pseudonymization Solution Development
Category
Core Tech (AI/DATA/Cloud/Security)
Due date
2025.04.30
Job group
Data/AI
Experience Level
Experienced 4-10 years
Job Types
Full-time
Locations
Seoul / Gyeonggi서울특별시 강남구 대치동

[Job Description]

  • Define ​technical ​requirements ​from the ​perspective of data engineering ​and ​analysis
  • Develop data ​pseudonymization solutions (including ​pseudonymization processing, ​distributed ​processing, adequacy ​review, ​reporting, ​etc.)
  • Design and develop ​dashboards ​(using Superset) for ​presenting ​review ​results


[Minimum Qualifications]

  • Experience with ​Python
  • Ability to ​analyze, ​design, and ​develop programs
  • Experience ​in ​participating in development ​projects (excluding ​sole projects)
  • A comprehensive understanding of IT technologies


[Preferred Qualifications]

  • Experience with big data platforms (e.g., Hadoop, Spark)
  • Experience with version control tools (GitLab) and CI/CD practices
  • Relevant experience in data engineering or analysis (modeling)


[Recruitment Process]

  • Application Submission → Application Review → Job Competency Test (Coding or Task Test) & HMAT → First Interview → Second Interview → Salary Negotiation & Medical Check-Up → Final Decision & Job Offer


[Reminder]

  • This is an ongoing recruitment process and job postings will close once the positions are filled. The recruitment process and schedule are subject to change.
  • Applications of socially prioritized groups (veterans eligible for employment support, individuals with disabilities) will be given preference in accordance with relevant laws and internal company regulations.
  • Depending on the job position and responsibilities, an English proficiency interview, reference check, or other procedures may be conducted.
  • If Hyundai AutoEver determines that another position is more suitable based on the applicant's experience and competencies, the applied position may change.
  • Assigned departments and work locations may be subject to change based on company circumstances.
  • Applicants may face disqualification from the recruitment process or cancellation of an offer in the following cases.

- If the application contains false information or supporting documents cannot be verified.

- If the applicant has restrictions on international travel. (for male applicants, military service

must be completed or exempted by the company's designated start date)

- If the applicant is unable to join the company on the designated start date after final

acceptance.

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[Tech] Data Scientist - Data Pseudonymization Solution Development

[Job Description]

  • Define ​technical ​requirements ​from the ​perspective of data engineering ​and ​analysis
  • Develop data ​pseudonymization solutions (including ​pseudonymization processing, ​distributed ​processing, adequacy ​review, ​reporting, ​etc.)
  • Design and develop ​dashboards ​(using Superset) for ​presenting ​review ​results


[Minimum Qualifications]

  • Experience with ​Python
  • Ability to ​analyze, ​design, and ​develop programs
  • Experience ​in ​participating in development ​projects (excluding ​sole projects)
  • A comprehensive understanding of IT technologies


[Preferred Qualifications]

  • Experience with big data platforms (e.g., Hadoop, Spark)
  • Experience with version control tools (GitLab) and CI/CD practices
  • Relevant experience in data engineering or analysis (modeling)


[Recruitment Process]

  • Application Submission → Application Review → Job Competency Test (Coding or Task Test) & HMAT → First Interview → Second Interview → Salary Negotiation & Medical Check-Up → Final Decision & Job Offer


[Reminder]

  • This is an ongoing recruitment process and job postings will close once the positions are filled. The recruitment process and schedule are subject to change.
  • Applications of socially prioritized groups (veterans eligible for employment support, individuals with disabilities) will be given preference in accordance with relevant laws and internal company regulations.
  • Depending on the job position and responsibilities, an English proficiency interview, reference check, or other procedures may be conducted.
  • If Hyundai AutoEver determines that another position is more suitable based on the applicant's experience and competencies, the applied position may change.
  • Assigned departments and work locations may be subject to change based on company circumstances.
  • Applicants may face disqualification from the recruitment process or cancellation of an offer in the following cases.

- If the application contains false information or supporting documents cannot be verified.

- If the applicant has restrictions on international travel. (for male applicants, military service

must be completed or exempted by the company's designated start date)

- If the applicant is unable to join the company on the designated start date after final

acceptance.