Remote

Quantitative Data Scientist

Engineeringfull timemid level$75k-$120k
AI ScreenedRemote B2BEU Talent Pool1 applicants
For hiring agencies & HR teams

EU engineers, ready to place with your US clients

Pre-screened on AI. Remote B2B contracts. View 5 full profiles free — AI score, skills report, interview questions included.

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

Required Skills

PythonStatistical ModelingMachine LearningSQLA/B TestingCausal InferencePyTorch/TensorFlowExperimentation Design