{
  "job_id": "Z2qjuoU4MwUyxoAnAAAAAA==",
  "job_city": "Köln",
  "job_state": null,
  "job_title": "Student trainee in Data Science - Clothing size prediction",
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  "job_country": "DE",
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  "employer_name": "Bw Bekleidungsmanagement Gmbh",
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  "job_posted_at": "vor 7 Tagen",
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  "job_description": "Your role in the team\n• You support our team in the development, validation, and further advancement of data-driven solutions for the analysis and forecasting of size and fit recommendations for clothing.\n• The goal is to develop precise and traceable recommendation systems based on body measurement data from body scans.\n\nWhat we offer\n• Participation in an innovative research and development project.\n• Insights into the application of data analysis and machine learning techniques in practical environments.\n• Option for remote work.\n• Flexible working hours to accommodate your studies (flexitime between 06:30 and 21:00 without core working hours).\n• Opportunity for independent handling of subprojects.\n• Corporate Benefits (exclusive employee discounts).\n• A structured onboarding and collaboration within an interdisciplinary team.\n• Individual, internal as well as external training opportunities.\n• Modern office spaces at a location with direct access to public transportation network and the highway (free company parking spaces).\n\nTechnologies and skills\n• Microsoft Word\n• Microsoft Excel\n• Microsoft Powerpoint\n• Python\n\nOur expectations:\n\nQualifications\n• Basic knowledge in the field of statistics and data analysis.\n• Good knowledge of Python or comparable programming languages is desirable.\n• Proficient in common office applications (e.g., Word, Excel, PowerPoint).\n• Basic knowledge of working with databases is advantageous.\n• Analytical thinking and structured working approach.\n• Independent and reliable work ethic.\n\nEducation\n• Current studies in Computer Science, Mathematics, Data Science, or a comparable program.\n\nBenefits\n• Flexible Working Hours",
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  "job_posted_at_timestamp": 1773446400,
  "job_posted_at_datetime_utc": "2026-03-14T00:00:00.000Z"
}