AutoScout24 Engine GmbH is looking for a Data Scientist to lead the strategic direction and deployment of AI/ML solutions across the organization. You will focus on predictive and generative AI models for marketplace and fintech domains, providing technical leadership, mentorship, and cross-functional collaboration to drive product innovation and business value.
What You'll Do
- Shape the strategic direction and vision of Data Science across the organization by identifying transformative AI/ML opportunities.
- Lead the design and deployment of predictive and generative AI models that power personalization, pricing, search, and optimization.
- Collaborate with product leaders to align ML initiatives with strategic business goals and drive product innovation.
- Architect scalable ML infrastructure and automated workflows using cloud-native tools like AWS, EC2, and Kubernetes.
- Ensure long-term performance and compliance of production AI models through robust governance and monitoring.
- Provide technical leadership and mentorship to data scientists, fostering an innovative team culture.
- Serve as a cross-functional technical leader, partnering with engineering, product, and platform teams to influence architecture and standards.
- Act as a senior technical advisor, leading resolution of complex modeling issues and serving as an escalation point.
- Lead the exploration and strategic application of GenAI, identifying high-impact use cases for integration.
What We're Looking For
- Advanced academic credentials in a quantitative field such as Computer Science, Engineering, Mathematics, or a 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 like scikit-learn, TensorFlow, and 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, 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 real-time and batch-processing environments.
- Excellent communication and stakeholder management skills, able to translate complex concepts into actionable insights.
- Demonstrated success mentoring teams, guiding technical strategy, and advocating for best practices in experimentation, reproducibility, and ethical AI.
Nice to Have
- Experience working in agile product development environments (Scrum/Kanban); experience influencing product roadmaps is a strong plus.
Technical Stack
- Languages & Libraries: Python, SQL, scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain, OpenAI APIs
- Infrastructure & Tools: AWS, EC2, Kubernetes, Docker, Jenkins, Airflow, Flask, FastAPI, GitHub Actions
- Data Stores: Vector databases
Team & Environment
You will be part of the Data Science team, collaborating cross-functionally with product, engineering, and business teams.
Benefits & Compensation
- A highly competitive compensation package and a range of personal benefits such as discounts from our partners.
- Targeted trainings, workshops, coaching, and support services for professional and personal growth.
- Cutting-edge laptops (Apple or Windows) and other personal tech equipment available for private use.
- Modern, cloud-native tooling and infrastructure (including AWS, Docker, and GitHub Actions) enabling fast, scalable experimentation and deployment.
- JobRad and Urban Sports Club memberships.
- Regular virtual and in-person team and company events, including hackathons, Christmas parties, and Oktoberfest.
- 30 vacation days a year, flexible working hours, and hybrid work.
- A dog-friendly office.
Work Mode
This role offers a hybrid work mode.
We appreciate different lifestyles and cultural backgrounds. We welcome diversity as a strength. Our organization is made up of more than 50+ different nationalities, all working together inclusively and respectfully. You will join a team and company environment that gives you lots of opportunities to innovate and shape our business and culture.
