Quantitative Data Scientist
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
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
Similar Positions
Candidates may also fit these roles
ML Experiment Engineer
2 matchedRemote
We're seeking an ML Experiment Engineer to design, implement, and iterate on machine learning experiments that power our AI-first recruiting platform. You'll wo…
Data Scientist
1 matchedRemote
We're seeking a Data Scientist to join our AI-first recruiting platform, where you'll build machine learning models that power intelligent talent matching at sc…
Personalization Engineer
1 matchedRemote
We're seeking a Personalization Engineer to design and implement AI-driven personalization systems for our recruiting platform. You'll own the architecture and …
Research Scientist (Machine Learning)
Remote
Join our AI-first recruiting platform as a Research Scientist to design and implement cutting-edge machine learning models that transform talent acquisition. Yo…
