Senior Data Scientist

Tiqets is hiring a Senior Data Scientist to join its mission to bring the world more ways to culture.

As a Senior Data Scientist, you will sit at the heart of Tiqets' mission to make culture more accessible by removing the friction of discovering and booking the world's best museums and attractions. Within the Product department, you will work in a highly collaborative, cross-functional environment alongside Product Managers, Software Engineers, and Designers, while maintaining strong ties with the broader Data & Analytics teams.

You will use advanced Machine Learning and GenAI to improve how millions of travellers discover and experience culture worldwide, with end-to-end ownership of building and deploying solutions ranging from complex ranking algorithms and personalization engines to highly scalable LLM-powered applications.

If you are an exceptionally passionate data practitioner who relentlessly follows the latest AI research and thrives on solving complex problems, this is the environment for you.

What you will do

• Lead the design, architecture, and deployment of robust ML and data science solutions, taking ownership of the full lifecycle from early prototyping to scalable, production-ready MLOps pipelines.
• Develop, deploy, and optimize algorithms and models for rankings, recommendations, conversion optimization, and dynamic pricing, balancing pragmatic, efficient solutions with cutting-edge advancements.
• Apply large language models (LLMs) and associated strategies to real-world applications such as entity extraction, automated content generation, and automation of various operational processes.
• Design, execute, and analyse online experiments (A/B tests) with rigorous statistical methods to guide hypothesis-driven decisions. Applied knowledge of causal inference techniques is a plus.
• Act as a strategic partner to Product Managers and business stakeholders; translate ambiguous business challenges into concrete, data-driven technical roadmaps.
• Mentor junior team members and uphold high standards in code and deliverables.
• Stay on top of industry trends by experimenting with emerging technologies, separating the wheat from the chaff.

What you will bring

• 5+ years of hands-on experience in Data Science and Machine Learning roles, with a proven track record of deploying models to production in a high-growth tech or scale-up environment.
• Deep expertise in machine learning fundamentals, including probability, statistics, calculus, and optimization; experience with advanced topics like reinforcement learning or graph neural networks is a plus.
• Strong proficiency in SQL and Python, with mastery of key libraries (PyData stack), and modern data engineering tools such as Databricks, Airflow, MLflow, and Langfuse, paired with rigorous software engineering practices including git, CI/CD, Docker, and tests.
• Experience working with cloud platforms such as AWS or GCP.
• Demonstrated experience with LLMs and GenAI, including prompt and context engineering, RAG, advanced inference approaches, agentic approaches, and evaluation strategies.
• Excellent communication skills to convey complex insights to non-technical stakeholders; ability to thrive in a scale-up environment, taking ownership and adapting quickly.
• Passion for data science, evidenced by continuous learning such as following arXiv papers, attending meet-ups, or contributing to open-source projects.
• Living in the Netherlands and available for a hybrid work model.

Perks & Benefits at Tiqets

• Energetic, international work environment.
• Bright, welcoming office located in the centre of Amsterdam.
• Tiqets learning academy: skill lab, group and individual learning.
• Annual company getaway to an undisclosed location.
• Mental health support through a partnership with OpenUp.
• Daily fresh lunch buffet provided by Join Programs.
• Sports activities: free gym, running sessions, boot-camp, football, climbing, and more.
• Fun, sociable company events in and out of the office.
• 20% employee discount code to explore great museums and venues worldwide.
• Pension contribution and travel compensation.