Senior Data Scientist (m/f/d)

AutoScout24

A career driven by you. Join AutoScout24 Group and experience life in the fast lane. We’re not just leading the market; we’re creating it. We’re constantly innovating, evolving and transforming things for our customers. We’re driven, ambitious and determined to do our best work, together. For a career that doesn’t stand still, where you can put your ideas in the driving seat and change the way the world moves, join our international community. As Senior Data Scientist, you will be key contributor within our global Data Science organization, shaping AI and machine learning systems that sit at the core of our marketplace platforms across Europe and Canada.  You design, build, and operate machine learning and GenAI systems that run in production and matter to the business. You work on complex, ambiguous problems, exercise strong technical judgment, and take responsibility for outcomes - not just models. While this is a hands-on role, you are also expected to influence technical direction, raise the bar for engineering practices, and enable other data scientists and engineers to succeed. This position is permanent and based in Munich.  What you’ll do  * Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvement  * Make sound architectural and methodological decisions for ML systems on AWS, balancing robustness, observability, cost, and long-term maintainability  * Partner closely with Product, Engineering, and Business leaders to turn ambiguous problems into ML-enabled product solutions with clear outcomes  * Operate and evolve ML systems deployed across multiple countries and markets, accounting for differences in data distributions, regulations, and constraints  * Mentor other data scientists through hands-on technical guidance, design reviews, and shared ownership of systems  What you’ll need   * Advanced degree in Computer Science, Engineering, Mathematics, or a comparable field  * 5+ years of experience building and owning production ML systems end-to-end in a real-world environment  * Strong hands-on expertise in Python and modern ML frameworks, with the ability to ship, operate, and evolve ML systems in production  * Solid experience with AWS and MLOps practices, including deployment, monitoring, and operating ML systems at scale  * Practical experience applying GenAI / LLMs in applied or production contexts, with a clear understanding of trade-offs and limitations  * Ability to influence technical decisions through clear judgment and collaboration, not formal authority  * Experience supporting and guiding more junior data scientists through hands-on collaboration, code reviews, and technical feedback  * Strong sense of ownership and accountability for outcomes, with a pragmatic approach to trade-offs and delivery  WHY Autoscout24 A culture of growth. With over 50 nationalities represented, we’re proud to welcome people of all backgrounds to our growing community, and we’re always finding new ways to help people feel welcomed and included. Here, you’ll have the tools, training and support you need to work in a way that suits you, learn new skills and reach your potential. For a career where you can drive our business and shape your future, apply now.

AutoScout24

A career driven by you. Join AutoScout24 Group and experience life in the fast lane. We’re not just leading the market; we’re creating it. We’re constantly innovating, evolving and transforming things for our customers. We’re driven, ambitious and determined to do our best work, together. For a career that doesn’t stand still, where you can put your ideas in the driving seat and change the way the world moves, join our international community.  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 * build and operate production-ready ML solutions using AWS services (e.g. SageMaker, S3, Lambda, EMR, etc.) * ensure model quality, monitoring, governance, and compliance in production * mentor and develop data scientists and act as senior technical advisor  YOU COME WITH  * 10+ years of experience in data science, machine learning, or applied AI * strong hands-on skills in Python, SQL, and common ML frameworks * proven experience with GenAI and LLMs in real products * strong experience with AWS and its ML/data ecosystem (e.g. SageMaker, S3, EKS, Lambda, IAM) * solid background in cloud platforms, MLOps, and model deployment * ability to translate complex topics into clear business decisions * experience leading senior teams and shaping technical strategy  A culture of growth. With over 50 nationalities represented, we’re proud to welcome people of all backgrounds to our growing community, and we’re always finding new ways to help people feel welcomed and included. Here, you’ll have the tools, training and support you need to work in a way that suits you, learn new skills and reach your potential.  For a career where you can drive our business and shape your future, apply now.

AutoScout24

A career driven by you. Join AutoScout24 Group and experience life in the fast lane. We’re not just leading the market; we’re creating it. We’re constantly innovating, evolving, and transforming things for our customers. We’re driven, ambitious, and determined to do our best work together. For a career that doesn’t stand still, where you can put your ideas in the driving seat and change the way the world moves, join our international community.  As Senior GenAI Data Scientist, you’ll join our Data Science organisation and drive the development of next-generation AI solutions across the company. You will take ownership of building agentic GenAI systems, integrating knowledge into models, and setting up strong evaluation and monitoring frameworks that ensure we deliver reliable, scalable, and high-value AI products. This position is permanent and located in Munich (Germany) or Toronto (Canada). What you’ll do: * Design and build agentic GenAI systems using modern frameworks such as LangChain, AutoGen or Atomic Agents, taking the lead on translating product needs into scalable AI solutions and delivering production-ready implementations. * Drive harness engineering practices across Data Science projects, creating agent-ready repositories, workflows, standards, and feedback loops that enable software engineering agents to generate, test, maintain, and review code reliably across AI, ML, and data products. * Develop and maintain knowledge integration pipelines, including RAG architectures, custom model fine-tuning, vector search, and other grounding methods to ensure our AI systems have the right context for accurate, relevant outputs. * Define evaluation strategies, build ground-truth datasets, and create automated test and monitoring setups to ensure stable long-term model performance and proactively detect issues such as drift or hallucination. * Collaborate with engineering, data, and product teams to integrate AI components into platforms, workflows, and customer-facing products, designing clean APIs, robust pipelines, and scalable deployment patterns. * Act as a hands-on expert for GenAI and agentic software engineering topics, mentoring peers, guiding solution architecture, and driving best practices in coding, testing, repository design, documentation, observability, and harness engineering across the team and beyond. * Experiment with new tools, models, and architectures, identify high-impact AI opportunities, and build prototypes that can scale into production-ready solutions.  What you’ll bring:  * A degree in computer science, data science, engineering, or a related field. * Experience designing maintainable, agent-ready engineering environments, including repository structures, coding standards, automated test suites, CI/CD workflows, documentation patterns, and feedback mechanisms that allow software engineering agents to safely generate, modify, review, and maintain code. * Experience with knowledge graphs, graph-based retrieval, semantic modelling, or ontology-driven knowledge representation is a plus. * Strong coding skills in Python and experience with robust software engineering practices. * Practical experience with RAG pipelines, vector databases, embeddings, or fine-tuning workflows. * Strong understanding of common challenges in AI development (ground-truth evaluation data, monitoring, integration complexity, model drift). * Experience deploying AI systems in a cloud environment and working with modern ML stacks. * Familiarity with MLOps, prompt engineering, or LLM-based application design. * Ability to explain complex AI topics in clear and actionable language to technical and non-technical stakeholders. * High motivation, ownership mentality, and a strong drive to build impactful AI products. * Fluency in English; German is a plus. A culture of growth. With over 50 nationalities represented, we’re proud to welcome people of all backgrounds to our growing community, and we’re always finding new ways to help people feel welcomed and included. Here, you’ll have the tools, training and support you need to work in a way that suits you, learn new skills and reach your potential.  For a career where you can drive our business and shape your future, apply now.