Your Job
* Build tools and services based on foundation models to enhance the efficiency of Statista’s researchers and analysts in data research and modelling.
* Develop autonomous AI agent networks that can take on the heavy-lifting for complex market forecasting – both quantitative and qualitative.
* Design and deploy cloud infrastructure for hosting tools, AI Agents and API services.
* Proactively analyze established processes in our content and data teams to identify opportunities for optimization and automation.
* Stay up-to-date with important developments in AI & Automation to ensure constant revision and upgrades of our services and tools.
Your skills
* You are comfortable in developing automation and AI tools in Python using for example libraries such as Fast API / Flask, G-Eval, Langchain, Sentence Transformers or Streamlit / Gradio
* You have a good understanding and a great interest in the principles and basics of AI applications (RAG-context, prompt engineering, pros and cons of different foundation models, output evaluation)
* Proficiency in workflow orchestration, containerization and version control tools (e.g. Apache Airflow, Docker or git)
* You have at least some experience in cloud services and infrastructure (e.g. AWS: ECS, EC2 & EKS); Infrastructure-as-Code is a plus
* You have excellent spoken and written English skills
What we offer
In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from:
* Work from abroad 10 days a year (up to 30 if your family lives abroad)
* Hybrid work and flex-time
* International team and social events
* Career & training opportunities
* Attractive locations and modern offices
* Mental health support with OpenUp