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Senior Data Scientist / Engineer
- Wisconsin, United States
- Wisconsin, United States
Über
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. Ideal for people who want to learn what it means to ship data science to production at scale.
A genuinely cool domain. Work with emerging technologies, market shifts, innovation signals, and industry context—helping strategy teams stay ahead.
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.
Ownership mindset — you define goals, prioritize, and deliver.
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.
How You Contribute
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 & 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).
Translate research prototypes into production-ready features.
Prioritize, scope, and execute transferring insights, metrics, and algorithms into Trendtracker.
Expand Trensition’s proprietary trend scoring framework and analytical capabilities.
Data Ops & 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 & 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.
Our Mission One KPI matters:
build and scale the data & analytics engine powering the world’s first AI-driven strategic intelligence platform.
Tell us about yourself, and we’ll review your profile for future opportunities.
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Sprachkenntnisse
- English
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