Data Scientist (Ai)

TL;DR

Data Scientist (AI): Designing and implementing predictive and generative AI models that power personalization, pricing, search, and optimization in marketplace and fintech domains with an accent on translating strategic goals into data-driven solutions and owning end-to-end model development for specific product features. Focus on exploration of GenAI applications, helping identify use cases and supporting their integration.

Location: Munich (Germany)

Company

hirify.global group, Europe’s largest online car marketplace, shaping the future of automotive retail in Canada and beyond.

What you will do

• Design and implement predictive and generative AI models that power personalization, pricing, search, and optimization in marketplace and fintech domains
• Work with product and business teams to translate strategic goals into data-driven solutions, owning end-to-end model development for specific product features
• Extract actionable insights from large, complex datasets, presenting findings clearly to both technical and non-technical audiences
• Support scalable ML infrastructure using cloud-native tools (e.g., AWS, EC2) to facilitate efficient model training and deployment
• Take ownership of model performance metrics, conducting regular evaluations and communicating results to stakeholders
• Propose creative approaches to solve complex business problems, balancing technical innovation with practical implementation

Requirements

• Advanced academic credentials in a quantitative field such as Computer Science, Engineering, Mathematics, or related discipline
• 3-5 years of experience in data science, machine learning, or applied AI, with experience deploying models to production
• Strong programming skills in Python and SQL, and familiarity with ML/AI frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
• Hands-on experience with cloud infrastructure (AWS), containerization (Docker), and orchestration (Jenkins, Airflow)
• Understanding of MLOps concepts, including model monitoring and versioning
• Experience with GenAI/LLM technologies, including tools like Hugging Face, LangChain, OpenAI APIs, vector databases, and fine-tuning methods

Nice to have

• Experience in e-commerce, marketplaces, or high-scale consumer platforms
• Familiarity with automotive data and applications in pricing, inventory optimization, or recommendation systems
• Contributions to open-source AI/ML projects, publications, or presentations at industry conferences

Culture & Benefits

• Gym discounts
• Employee and Family Assistance program
• Weekly virtual wellness events
• Conferences & training budget
• Regular internal training programs
• Annual bonus structure