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AUAutoScout24

Senior Data Scientist, Economics(m/w/x)

München
VollzeitVor OrtSenior
AI/ML
Data Science

Designing and building ML, econometric, and GenAI systems for vehicle pricing and valuation. Several years of production ML system experience required. Culture of growth with over 50 nationalities represented.

Anforderungen

  • Degree in Computer Science, Engineering, Mathematics, Economics, Econometrics, or related quantitative field, or equivalent practical experience
  • Several years of experience building and operating ML or quantitative systems in production
  • Strong Python and modern ML frameworks expertise for shipping, operating, and evolving ML systems
  • Experience deploying and operating ML systems on AWS or comparable cloud platforms
  • Solid understanding of ML system design, experimentation, and MLOps practices
  • Experience applying GenAI techniques in applied or production contexts, understanding trade-offs and limitations
  • Strong understanding of marketplace dynamics, pricing, or valuation problems, and ability to translate into quantitative models
  • Ability to influence technical decisions through strong judgment and collaboration, not formal authority
  • Experience supporting and guiding other data scientists through technical feedback and code reviews
  • Strong sense of ownership and accountability for outcomes, pragmatic approach to trade-offs and delivery

Aufgaben

  • Design and build ML, econometric, and GenAI systems
  • Frame and solve complex problems in system design
  • Deploy, monitor, and continuously improve ML systems
  • Implement machine learning models for vehicle pricing
  • Evolve cross-market valuation framework for B2B, B2C, and C2B
  • Translate supply-demand patterns into scalable models
  • Make architectural and methodological decisions for ML systems
  • Identify GenAI applications in valuation systems
  • Extract signals from unstructured vehicle data
  • Improve modeling workflows with GenAI techniques
  • Partner with Product and Engineering teams
  • Transform marketplace problems into ML solutions
  • Operate ML systems across multiple countries and markets
  • Mentor data scientists through collaboration and reviews

Berufserfahrung

  • ca. 4 - 6 Jahre

Ausbildung

  • Bachelor-Abschluss

Sprachen

  • Englischverhandlungssicher

Tools & Technologien

  • Python
  • AWS

Benefits

Sonstige Vorteile

  • Culture of growth

Lockere Unternehmenskultur

  • Over 50 nationalities represented
  • Welcome people of all backgrounds

Mentoring & Coaching

  • Tools, training, and support
  • Reach your potential

Weiterbildungsangebote

  • Learn new skills
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