Remote Competitive Data Scientist (Kaggle)

Weekday; Oregon; Hybrid; USD 83,000 - 165,000; Part time

Job summary

Weekday is seeking a Competitive Data Scientist (Kaggle) for a fully remote contractor role (~15 hours/week). You will design data science and ML tasks inspired by real-world problems, build reproducible environments, and develop robust evaluation methods to assess AI coding systems.

You will create reference solutions, implement automated tests, and help refine task specifications based on agent performance.

Qualifications

• Demonstrated experience in data science, ML, and quantitative modeling.
• Participation in competitive data science platforms (Kaggle, DrivenData, Zindi, AIcrowd, Numerai, DataSource.ai, Codabench/Codabench).
• Strong analytical reasoning with ability to break down problems into structured, testable solutions.
• Practical programming skills to 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.
• Clear communication of technical reasoning.

Responsibilities

• Task Development: Design data science, ML, and mathematical modeling tasks based on real-world problems and competition experience.
• Environment Setup: Build reproducible execution environments, prepare datasets, configure dependencies, and ensure consistent task execution.
• Reference Solutions: Implement accurate, efficient, and verifiable reference solutions for each task.
• Testing and Evaluation: Develop automated tests, validation criteria, and evaluation frameworks.
• AI Agent Evaluation: Run AI coding agents against designed tasks and analyze performance.
• Debugging and Quality Assurance: Identify bugs, data leakage, and methodological weaknesses.
• Technical Documentation: Document problem statements, expected outputs, and verification procedures.
• Continuous Improvement: Improve task complexity, reproducibility, and evaluation reliability through iterative testing.

Skills

Competitive Data Science

Kaggle Competitions

Python Programming

Machine Learning

Statistical Analysis

Data Modeling

Model Evaluation

Testing & Validation

Tools

Pandas

NumPy

scikit-learn

PyTorch

TensorFlow

Job description

Weekday is seeking a Competitive Data Scientist (Kaggle) for a fully remote contractor role (~15 hours/week). You will design data science and ML tasks inspired by real-world problems, build reproducible environments, and develop robust evaluation methods to assess AI coding systems.

You will create reference solutions, implement automated tests, and help refine task specifications based on agent performance.