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Senior Data Scientist / Engineer
Senior Data Scientist / Engineer (Data Team)
Trendtracker is building a global AI platform that helps organizations anticipate the future and make smarter strategic decisions. Our data team is the backbone of this mission—responsible for ingesting, structuring, analyzing, and transforming millions of signals from 10,000+ curated sources into high-quality trend insights, NLP outputs, and proprietary scoring metrics.
About the vacancy
We’re hiring a Senior Data Scientist / Engineer to scale our analytics engine, push the boundaries of NLP and information extraction, and turn research into real product features used by global enterprises. Join a fast-scaling AI company powering global strategic intelligence with advanced data pipelines, NLP, and large-scale analytics.
Why this role is unique
- Shape the intelligence core of a category-defining AI platform. Your work directly influences how the system detects trends, extracts insights, reasons about innovation, and supports strategic decisions.
- A rare opportunity in the Belgian tech scene. Few companies in Belgium—or Europe—are building large-scale AI analytics engines with real NLP pipelines, custom trend scoring, and global enterprise usage.
- Entrepreneurial environment for ambitious builders. This is ideal for people who want to learn what it means to ship data science to production at scale.
- A genuinely cool domain. You'll work with emerging technologies, market shifts, innovation signals, and industry context—helping strategy teams stay ahead.
Our mission
One KPI matters: build and scale the data & analytics engine powering the world’s first AI-driven strategic intelligence platform.
What we’re looking for
- Proven experience as a Data Scientist, ML Engineer, Researcher, or Data Engineer. (PhD is a strong plus.)
- Deep experience with large-scale, messy, real-world datasets.
- Academic-level understanding of NLP, information extraction, text analytics, or semantic modeling.
- Strong proficiency in: Python, MongoDB, Elasticsearch, Kubernetes, Git, RESTful APIs, CI/CD.
- Experience with time series or graph analytics is a plus.
- Ability to simplify complex concepts and communicate clearly with engineering and product teams.
- Fluent in English.
- Ownership mindset — you define goals, prioritize, and deliver.
How you'll contribute
Data Engineering and Pipelines
- Build, maintain, and optimize large-scale data pipelines ingesting, cleaning, enriching, and indexing millions of documents.
- Improve scalability, reliability, and throughput across our Google Cloud + Kubernetes architecture.
- Monitor data flows, automate error handling, and ensure high availability.
NLP, ML and Information Extraction
- Develop and refine algorithms for NLP, topic detection, event extraction, GPE recognition, and entity/organization extraction.
- Experiment with new models and evaluate research ideas on large datasets.
- Collaborate with AI/LLM engineers to integrate model outputs into product features (summaries, insights, narratives).
Research → Product Translation
- Translate research prototypes into production-ready features.
- Prioritize, scope, and execute transferring insights, metrics, and algorithms into Trendtracker.
- Expand Trendtracker’s proprietary trend scoring framework and analytical capabilities.
Data Ops and Performance
- Optimize MongoDB and Elasticsearch queries, indexing strategies, and storage models for performance and scalability.
- Ensure all models and pipelines follow SDLC standards:
- Code reviews
- Automated tests
- CI/CD
- Reproducibility
Mindset and approach
- High-performance, research-driven, product-focused mindset.
- Passion for the intersection of data, AI, research, and product.
- Desire to build something that becomes a global standard.
Working at Trendtracker is…
- Work on one of Europe’s most exciting AI products, built in Ghent.
- Build intelligence engines that shape strategic decisions at global enterprises.
- Collaborate with high-performing engineers, scientists, and product builders.
- Dive into a domain full of innovation, emerging tech, and market signals.
- Join a fast-scaling company where impact happens in days, not months.
- Help build the foundations of a platform defining a new category.