Principle Data Scientist (mfd)

Munich - Germany

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

The Data Science team partners with groups across the company and leverages state-of-the-art technology to offer solutions that set AutoScout24 apart.In this role youll collaborate cross-functionally with product engineering and business teams to design build and scale AI solutions that set us apart in the industry. Youll bring deep technical expertise a passion for innovation and a strong product mindset to develop ML products that solve real-world problems and deliver measurable business value.

Our ideal candidate is an experienced data science leader who thrives in a dynamic fast-paced environment that combines the stability of an industry leader with the agility of a startup culture. You are curious proactive and committed to continuous learning especially in emerging areas like Generative AI and Large Language Models (LLMs).

You should be comfortable engaging with all levels of the organization from peers to executives and possess the ability to distill complex information into clear actionable strategies that drive business decisions and create value.

At AutoScout24 we appreciatedifferent lifestyles and cultural backgrounds. We welcome diversity as a strength. Our organization is e.g. made up of more than 50 different nationalities all working together inclusively and respectfully.

The role is Hybrid (2 days a week office attendance)

What Youll Do:

Shape the strategic direction and vision of Data Science across the organization by identifying transformative AI/ML opportunities and championing the teams evolving role in a rapidly advancing GenAI landscape.
Lead the design and deployment of predictive and generative AI models that power personalization pricing search and optimization in marketplace and fintech domains.
Collaborate with product leaders to align ML initiatives with strategic business goals and drive product innovation through data-driven experimentation and modeling.
Architect scalable ML infrastructure and automated workflows using cloud-native tools (e.g. AWS EC2 Kubernetes) to support efficient model training deployment and analytics across diverse datasets.
Ensure long-term performance and compliance of production AI models though robust governance and monitoring.
Provide technical leadership and mentorship to data scientists shaping an innovative team culture and fostering high-performance and continuous learning.
Serve as a cross-functional technical leader shaping company-wide technical initiatives beyond data science. Partner with engineering product and platform teams to influence architecture innovation agendas and technical standards across the organization.
Act as a senior technical advisor leading resolution of complex modeling issues and acting as the escalation point for critical incidents.
Lead the exploration and strategic application of GenAI identifying high-impact use cases and guiding their integration across products and platforms.

What You Should Bring:

Advanced academic credentials in a quantitative field such as Computer Science Engineering Mathematics or related discipline
10 years of experience in data science machine learning or applied AI with a strong portfolio of high-impact projects in production
Expert-level programming skills in Python and SQL and fluency with leading ML/AI frameworks (e.g. scikit-learn TensorFlow PyTorch)
Direct experience with GenAI/LLM technologies including tools like Hugging Face LangChain OpenAI APIs vector databases and fine-tuning methods
Deep knowledge of machine learning algorithms (supervised unsupervised deep learning) including model evaluation explainability and selection for business-critical use cases
Strong hands-on experience with cloud infrastructure (AWS) containerization (Docker) and orchestration (Jenkins Airflow)
Proven capability in MLOps including CI/CD pipelines model monitoring versioning and automated retraining
Experience deploying and serving models through APIs (e.g. Flask FastAPI) in both real-time and batch-processing environments
Excellent communication and stakeholder management skills able to translate complex concepts into actionable insights for non-technical audiences
Demonstrated success mentoring teams guiding technical strategy and advocating for best practices in experimentation reproducibility and ethical AI
Experience working in agile product development environments (Scrum/Kanban); experience influencing product roadmaps is a strong plus

How we empower you to turn ideas into reality and have fun doing it:

A team and company environment that gives you lots of opportunities to innovate and shape our business and culture. A highly competitive compensation package and a range of personal benefits such as discounts from our partners
Targeted trainings workshops coaching and support services that help you grow at AutoScout24 and in life
Cutting-edge laptops (Apple or Windows) and other personal tech equipment that you can also use privately; our super-friendly Employee Tech team will ensure that your tech needs are always taken care of
Modern cloud-native tooling and infrastructure (including AWS Docker and GitHub Actions) that enable fast scalable experimentation and deployment
JobRad and Urban Sports Club
Regular virtual and in-person team and company events to have fun share and celebrate successes (including hackathons Christmas parties and the Oktoberfest)
30 vacation days a year flexible working hours and hybrid work
A dog-friendly office; we love our four-legged friends so feel free to bring yours with you

If this appeals to you but you are in doubt about how exactly your skills match our requirements - we value personality ambition and an open mind. Dont hesitate to get in touch and present your personal strengths to look forward to hearing from you!

The Data Science team partners with groups across the company and leverages state-of-the-art technology to offer solutions that set AutoScout24 apart.In this role youll collaborate cross-functionally with product engineering and business teams to design build and scale AI solutions that set us apart...

The role is Hybrid (2 days a week office attendance)

What Youll Do:

Shape the strategic direction and vision of Data Science across the organization by identifying transformative AI/ML opportunities and championing the teams evolving role in a rapidly advancing GenAI landscape.
Lead the design and deployment of predictive and generative AI models that power personalization pricing search and optimization in marketplace and fintech domains.
Collaborate with product leaders to align ML initiatives with strategic business goals and drive product innovation through data-driven experimentation and modeling.
Architect scalable ML infrastructure and automated workflows using cloud-native tools (e.g. AWS EC2 Kubernetes) to support efficient model training deployment and analytics across diverse datasets.
Ensure long-term performance and compliance of production AI models though robust governance and monitoring.
Provide technical leadership and mentorship to data scientists shaping an innovative team culture and fostering high-performance and continuous learning.
Serve as a cross-functional technical leader shaping company-wide technical initiatives beyond data science. Partner with engineering product and platform teams to influence architecture innovation agendas and technical standards across the organization.
Act as a senior technical advisor leading resolution of complex modeling issues and acting as the escalation point for critical incidents.
Lead the exploration and strategic application of GenAI identifying high-impact use cases and guiding their integration across products and platforms.

What You Should Bring:

Advanced academic credentials in a quantitative field such as Computer Science Engineering Mathematics or related discipline
10 years of experience in data science machine learning or applied AI with a strong portfolio of high-impact projects in production
Expert-level programming skills in Python and SQL and fluency with leading ML/AI frameworks (e.g. scikit-learn TensorFlow PyTorch)
Direct experience with GenAI/LLM technologies including tools like Hugging Face LangChain OpenAI APIs vector databases and fine-tuning methods
Deep knowledge of machine learning algorithms (supervised unsupervised deep learning) including model evaluation explainability and selection for business-critical use cases
Strong hands-on experience with cloud infrastructure (AWS) containerization (Docker) and orchestration (Jenkins Airflow)
Proven capability in MLOps including CI/CD pipelines model monitoring versioning and automated retraining
Experience deploying and serving models through APIs (e.g. Flask FastAPI) in both real-time and batch-processing environments
Excellent communication and stakeholder management skills able to translate complex concepts into actionable insights for non-technical audiences
Demonstrated success mentoring teams guiding technical strategy and advocating for best practices in experimentation reproducibility and ethical AI
Experience working in agile product development environments (Scrum/Kanban); experience influencing product roadmaps is a strong plus

How we empower you to turn ideas into reality and have fun doing it:

A team and company environment that gives you lots of opportunities to innovate and shape our business and culture. A highly competitive compensation package and a range of personal benefits such as discounts from our partners
Targeted trainings workshops coaching and support services that help you grow at AutoScout24 and in life
Cutting-edge laptops (Apple or Windows) and other personal tech equipment that you can also use privately; our super-friendly Employee Tech team will ensure that your tech needs are always taken care of
Modern cloud-native tooling and infrastructure (including AWS Docker and GitHub Actions) that enable fast scalable experimentation and deployment
JobRad and Urban Sports Club
Regular virtual and in-person team and company events to have fun share and celebrate successes (including hackathons Christmas parties and the Oktoberfest)
30 vacation days a year flexible working hours and hybrid work
A dog-friendly office; we love our four-legged friends so feel free to bring yours with you