Data Scientist

• Evaluate AI model outputs on data science, statistics, ML, and quantitative problems
• Create expert-level prompts, datasets, and reference solutions
• Identify flawed methodology, statistical errors, and weak quantitative reasoning
• Provide structured feedback that improves model capability

• Help build and scale a data pipeline handling massive data volumes and over one million predictions per second
• Design and run experiments across feature engineering, model optimization, and new ML tooling
• Apply classical machine learning to tabular data, NLP, and user embeddings
• Contribute to deep learning using feature embeddings and text-based app-description analysis
• Collaborate with engineering to refine the data processing pipeline
• Introduce AutoML techniques to automate parts of the analysis workflow
• Explore data preprocessing methods, build visualizations, and monitor experiments

Data Scientist jobs in Worldwide

Data Scientist

Senior Data Scientist