[Hiring] Competitive Data Scientist @Weekday AI

Role Description

We are looking for a Competitive Data Scientist (Kaggle) with strong expertise in data science, machine learning, statistical modeling, and applied mathematics. The ideal candidate will have demonstrated experience participating in data science and machine learning competitions, such as Kaggle, DrivenData, or similar platforms.

In this role, you will use your competition experience, analytical thinking, and programming skills to:

• Design challenging, well-defined coding and data science tasks that require rigorous reasoning.
• Build reproducible environments and develop verified reference solutions.
• Create robust evaluation mechanisms to assess the correctness and quality of AI-generated solutions.

This opportunity is ideal for individuals who enjoy:

• Solving complex technical problems.
• Experimenting with different approaches.
• Debugging code.
• Evaluating the performance of AI coding systems.

Qualifications

• Demonstrated experience in data science, machine learning, quantitative modeling, applied mathematics, or a related technical field.
• Participation in competitive data science or machine learning platforms, such as Kaggle, DrivenData, Zindi, AIcrowd, Numerai, DataSource.ai, or CodaLab/Codabench.
• Strong analytical reasoning and the ability to break down complex problems into structured, testable solutions.
• Practical programming skills sufficient to independently implement, test, debug, and validate technical solutions.
• Understanding of statistical methods, predictive modeling, data preprocessing, feature engineering, and model evaluation.
• Ability to identify data leakage, overfitting, flawed assumptions, and methodological errors.
• Experience evaluating model performance and validating results against reliable benchmarks.
• Strong attention to detail and the ability to communicate technical reasoning clearly.

Requirements

• Must-Have Skills:
• Competitive Data Science
• Kaggle Competitions
• Machine Learning
• Python Programming
• Statistical Analysis and Mathematical Reasoning
• Data Modeling and Model Evaluation
• Testing, Debugging, and Solution Validation
• Good-to-Have Skills:
• Experience with DrivenData, Zindi, AIcrowd, Numerai, or similar competition platforms.
• Strong Python development skills, including working with unfamiliar codebases.
• Experience with pandas, NumPy, scikit-learn, PyTorch, or TensorFlow.
• Knowledge of automated testing, reproducible environments, and dependency management.
• Experience developing evaluation benchmarks and automated grading systems.
• Familiarity with AI coding agents, LLM-based development tools, and agent evaluation.
• Experience in quantitative research, optimization, feature engineering, and advanced statistical modeling.

Benefits

• Flexible schedule, allowing you to choose when and how many days you work, including weekends if preferred.
• Opportunity to apply your competition experience to challenging technical problems.
• Contribute to the evaluation and improvement of AI systems.