Principal Data Scientist (m/f/d)

Meyandy LLC

München

Vor Ort

EUR 90.000 - 130.000

Vollzeit

14 Tage+
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Zusammenfassung

AutoScout24 Group is seeking a Principal Data Scientist to define and drive the company’s data science strategy with a strong emphasis on AI, machine learning, and Generative AI. You will lead senior data scientists and collaborate with product, engineering, and business leaders to turn data into scalable products that create clear business impact.

You will partner across the organization to align ML initiatives with business goals and design scalable cloud-based ML systems, with a particular

Aufgaben

  • define and own the data science and AI strategy across the organization
  • lead development and scaling of predictive and generative AI models for marketplace and fintech use cases
  • partner with product and business leaders to align ML initiatives with company goals
  • design scalable ML systems and cloud-based workflows for training and deployment, with a strong focus on AWS

Jobbeschreibung

A career driven by you.Join AutoScout24 Group and experience life in the fast lane.We’renot just leading the market;we’recreating it.We’reconstantly innovating,evolvingand transforming things for our customers.We’redriven,ambitiousand determined to do our bestwork,together.

As Principal Data Scientist, you will define and drive the data science strategy across AutoScout24, with a strong focus on AI, machine learning, and Generative AI. You will work closely with product, engineering, and business leaders to turn data into scalable products that create clear business impact. You will lead senior data scientists and act as a technical role model across the company.

WHAT YOU’LL DO
  • define and own the data science and AI strategy across the organization
  • lead development and scaling of predictive and generative AI models for marketplace and fintech use cases
  • partner with product and business leaders to align ML initiatives with company goals
  • design scalable ML systems and cloud-based workflows for training and deployment, with a strong focus on AWS
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