Senior Data Scientist (m/f/d)

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.

Europe, Remote _______________________________________________ Hello👋I am Puneet, Co-founder and CPO at Kayzen, and I am now looking for a Senior Data Scientist to join our team 🙌 But wait, you have not heard of Kayzen before?😃 Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. We enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through its self-serve and managed service options. Built on the three core pillars of performance, transparency, and control, Kayzen powers the world’s best mobile marketing teams with bespoke solutions that fuel business growth and deliver a competitive advantage. With an unprecedented scale of 160B+ daily ad requests from 1.6B+ unique users worldwide, we serve up to 1B+ ads per day in 180 countries. Kayzen is accessible through our APIs and user interface. The Team You will work with a carefully selected, diverse and globally distributed Data Science team (like Heiko, Chen) on various machine-learning models that process terabytes of data, serving billions of ad requests and users around the globe in real-time. We are highly motivated and aligned in our quest to disrupt the multi-billion dollar ad-tech industry. We would like you to be part of our journey, as our Senior Data Scientist (m/f/d). Responsibilities Our day-to-day work in Data Science and Machine Learning encompasses a wide range of activities, including: * Enhancing Models: Continuously improving existing models by incorporating new features, fine-tuning parameters, and utilizing additional data. * Algorithm Development: Collaborating with our Machine Learning Engineering team to develop and deploy scalable supervised and unsupervised learning algorithms. * Data Exploration: Identifying and exploring new data sources while researching innovative ways to leverage both new and existing data effectively. * Solution Research: Investigating new Machine Learning solutions to optimize every step of our value chain. * A/B Testing: Regularly conducting and evaluating A/B tests to drive insights and refine our strategies. You’ll be a great fit if you resonate with the following principles of Data Science and Machine Learning: * Simplicity First: We prioritize finding the best solutions to challenges rather than forcing problems to fit predetermined solutions. * Impact-Driven: We leverage Machine Learning to enhance our product and drive performance for our clients, always focusing on tangible business outcomes. * Collaborative Spirit: Our teams consist of analysts, engineers, and data scientists, making strong communication skills essential for success. * Embrace Experimentation: We believe in the power of experimentation to innovate and refine our approach continually. Requirements * Minimum 5 years of experience in developing data science products, from initial research through to production deployment.   * Strong coding skills with a focus on clean, reproducible, and well-tested code.   * Proficient in key tools and technologies including Python, Spark, Hadoop, Airflow, Docker, and SQL.   * Hands-on experience with algorithms for handling sparse and large datasets, including applications in prediction, clustering, and outlier detection.   * Experience in building neural network-based products for tasks such as classification, regression, and multi-task learning is highly valuable.   * Bonus skills: Knowledge of reinforcement learning and large-scale optimization problems is a significant asset.   * Good understanding of dashboards and SQL for developing and enhancing monitoring tools.   * Previous experience in Ad-Tech is a must. What do we offer? * Directly working with Founders and an opportunity to drive direct impact * Exceptional career growth and learning opportunity * A unique opportunity to be part of an experienced team of industry experts and entrepreneurs who bring massive change to the Adtech market * A fun, driven, and multinational team located across Germany, India, Argentina, Canada, Spain, the UK and many more countries. * A flexible work-from-home arrangement * Opportunity to relocate to our office in Berlin * A 500-dollar home-office setup budget * A 1000-dollar annual learning and development budget