Competitive Data Scientist

micro1

WorldwideremotePosted 2 days ago

Skill Required

Data-ScientistML-Data-ScientistData-ScienceCompetitive-Programming-SpecialistStatistical-Data-ScientistData ScientistMachine LearningR Programmingdebuggingetc.)TestNGPythonandContract

Key highlights

$60–$120/hour
Competitive Data Science experience (Kaggle, DrivenData, etc.)
Fully remote
Flexible schedule
Contractor (~15 hours per week)

Role overview

We're looking for data scientists, machine learning practitioners, and applied mathematics experts with competitive Data Science experience (Kaggle, DrivenData, etc.). You’ll draw on your competition experience, mathematical reasoning, and programming skills to create tasks that require more than a plausible answer, ensuring each task has a reproducible environment, a verified reference solution, and reliable checks for successful completion.

Responsibilities

Build reproducible environments, prepare relevant data and dependencies, and implement reference solutions.
Develop tests and evaluation criteria that reliably distinguish correct solutions from incomplete or flawed approaches.
Run coding agents against tasks, investigate their failures, and refine the tasks based on observed behavior.
Identify implementation errors, flawed assumptions, data leakage, and other issues that affect correctness.
Document task requirements, solution reasoning, and verification steps clearly.

Requirements

Demonstrated experience in data science, ML, quantitative modeling, or relevant research competitions. (Kaggle, DrivenData, etc.)
Strong problem-solving ability and a clear understanding of the methods you use.
Practical programming ability sufficient to implement and verify your own solutions.
Relevant competition platforms include Kaggle, DrivenData, Zindi, AIcrowd, Numerai, DataSource.ai, and CodaLab/Codabench.