Quantitative Data Scientist

About This Role

Join our AI-first recruiting platform as a Quantitative Data Scientist and drive predictive modeling at scale. You'll develop statistical models, design A/B experiments, and build data pipelines that power intelligent candidate-job matching for enterprise clients across Europe. This is a high-impact role where your quantitative rigor directly influences product decisions and business outcomes in a fast-growing B2B SaaS environment.

Requirements

• Develop and deploy machine learning models using Python (scikit-learn, PyTorch, or similar frameworks)
• Design and analyze A/B experiments with statistical rigor and causal inference methods
• Build reproducible data pipelines and feature engineering workflows using SQL and cloud tools
• Translate business problems into quantitative frameworks and communicate insights to non-technical stakeholders
• Work with large-scale datasets (millions of records) and optimize model performance for production
• Collaborate with ML engineers and product teams in an agile, fast-paced environment

Skills