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A global statistics provider is seeking an AI & Automation Developer to create AI-powered tools, design autonomous agent networks, and enhance data workflows. The role requires strong Python skills, experience with AI/ML concepts, and proficiency in cloud infrastructure. The position offers hybrid working and various perks that promote a collaborative work environment.
Are you passionate about building impactful AI automation solutions in a collaborative, data-driven environment? Statista is seeking an AI & Automation Developer to design and scale autonomous AI agent networks, optimize data workflows, and elevate analytics capabilities for our global research teams.
Why Statista?
Leading provider of global statistics, insights, and digital content.
Work with 400+ experts in AI, data engineering, and research.
Shape production AI tools used by millions of decision-makers worldwide
Your Job
Build AI-Powered Tools: Develop Python-based tools and services using modern frameworks (FastAPI, Flask, Langchain, Streamlit, Gradio, Sentence Transformers, G-Eval) that supercharge Statista’s data research and modeling.
Design Autonomous AI Agents: Create and deploy AI agent networks for complex, large-scale market forecasting (quantitative & qualitative), automating research and analysis pipelines.
Cloud & API Infrastructure: Architect, deploy, and maintain scalable cloud infrastructure for hosting AI services, agents, and APIs (AWS ECS, EC2, EKS a plus).
Process Automation: Analyze and optimize data/content workflows, proactively identifying automation opportunities.
Continuous Learning: Stay at the forefront of AI/ML innovation—adopting new tools, models, and best practices to keep Statista’s tech stack ahead of the curve.
Your skills
Python Automation & AI Tools: Experience building production apps with Python, utilizing frameworks like FastAPI/Flask, Langchain, G-Eval, Streamlit/Gradio.
AI & ML Concepts: Exposure to prompt engineering, Retrieval-Augmented Generation (RAG), foundational models (pros, cons, evaluation), and output assessment.
Infrastructure: Proficiency with containers (Docker), workflow orchestration (Apache Airflow), and version control (Git)—IaC is a strong plus.
Cloud: Hands-on with AWS services (ECS, EC2, EKS preferred) and scalable cloud architecture.
Communication: Excellent written and spoken English; able to explain complex AI concepts to technical and non-technical audiences.
Bonus Skills
Experience implementing Infrastructure as Code (e.g., Terraform, CloudFormation).
Familiarity with advanced MLOps, DevOps, or data engineering practices.
Your Team
Statista’s Product Division is the engine behind our global platform—combining exclusive primary data, AI-powered analytics, and world-class insights. You’ll collaborate with product managers, analysts, researchers, and data engineers in a flat, agile team environment, driving innovations that redefine industry standards.
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
Free access to Perplexity Enterprise Pro and all its amazing functionalities
Career & training opportunities
Attractive locations and modern offices
Mental health support with OpenUp
Statista is an equal opportunity employer and values diversity. All qualified applicants will receive consideration for employment.