Careers
Data Scientist
At GraphIQ, we've built a B2B search platform that helps users discover information about organizations and people for partnerships, sales, and growth. Our technology transforms public business data into a massive knowledge graph, and we're continually expanding its capabilities.
Remote (USA, Europe)
Full-Time
We’re looking for an experienced, hands-on Data Scientist who brings both creativity and pragmatism to solving tough data problems at scale. The initial project is to develop modules for entity resolution and data cleaning in our Python-based pipelines. From there, you may take on entity linking and information extraction, applying language models and machine learning to knowledge graph construction.
You will be an early member of the data science team, working closely with engineering and leadership to build our technical foundation. This is a remote role (US with work authorization or Europe as contractor). You’ll find that at GraphIQ, we all pitch in and ask for help when we need it, let the best ideas win, and stay focused on delivering value to customers.
You’ll thrive here if you:
Have 3+ years of experience applying machine learning and NLP to large scale data integration and entity resolution problems.
Are fluent in Python and comfortable with language models, embeddings, and vector similarity techniques.
Know how to build robust data preparation logic that standardizes, canonicalizes, and merges structured and unstructured data.
Write reliable, maintainable code that integrates directly into data pipelines.
Have experience with or strong interest in knowledge graphs, including data modeling, entity linking, information extraction, and building semantic layers to power search.
Are eager to explore AI techniques like RAG, fine-tuning, and agentic workflows, and apply good judgment to identify what adds real value.
If you love making data make sense, and want your expertise to make a direct impact, we’d love to hear from you.