Senior Data Scientist

Join our team as a Senior Data Scientist, where you will find data solutions that address business problems and enhance customer experience. You will own and evolve our classical ML/NLP enrichment pipeline, design and run LLM-based components in production, and collaborate with data engineers and business stakeholders. You will also have the opportunity to drive continuous improvement in our data science setup and foster a collaborative team environment.

• Add value by finding data solutions that fit the business problems we want to solve for our customers.
• Own and evolve our classical ML/NLP enrichment pipeline (matching, classification, embeddings) and the services that power all our data applications.
• Design, build, and run LLM-based components in production, such as enrichment, classification, and entity matching, with prompt design treated as part of system design.

• Experience with Spark, preferably PySpark
• Experience with AWS or Azure cloud services, including model hosting
• Solid experience with embeddings and NLP, such as semantic similarity, entity matching, or text classification
• Ability to communicate in English, verbally and in writing
• Bachelor's and/or Master's degree in a quantitative field (e.g. data science, computer science, artificial intelligence)
• Result-driven and hands-on attitude
• 5+ years of experience as a Data Scientist
• Hands-on, practical experience bringing LLMs into production: prompt design, evaluation, and cost/latency tradeoffs, not just experimenting in a notebook
• Proactive and courage to speak up
• Experience with Python (sklearn, numpy, pandas, etc.)
• Experience with AI agent frameworks or computer vision is a plus
• Knowledge of and experience with machine learning algorithms, such as clustering, classification, and regression
• Eager to challenge the status quo and experiment with new tools and methods