Competitive Data Scientist – Remote

RemoteJobsOne; Los Angeles (CA); Remote; USD 83,000 - 165,000; Part time

Benefits offered by this job

Flexible schedule

Job summary

RemoteJobsOne is seeking a Competitive Data Scientist for a fully remote, contract role (~15 hours/week) worldwide. You will design tasks, create reproducible environments, and verify solutions with clear evaluation criteria.

The role emphasizes strong problem solving, practical programming ability, and competition experience on platforms such as Kaggle and DrivenData.

Qualifications

• Experience in data science, ML, and quantitative modeling.
• Proven ability to work with competition-style datasets (Kaggle, DrivenData, etc.).
• Strong problem-solving and ability to implement and verify solutions.

Responsibilities

• Build reproducible environments, data and dependencies, and reference solutions.
• Develop tests and evaluation criteria to distinguish correct solutions.
• Run coding agents against tasks, investigate failures, and refine tasks accordingly.
• Document requirements, solution reasoning, and verification steps clearly.

Skills

Data science

ML

Quantitative modeling

Programming

Tools

Python

Testing

Debugging

Job description

Competitive Data Scientist – Remote (Worldwide)

This is a fully remote position, open to candidates based in 55 countries, including United States, United Kingdom, Canada, Germany, India, France, Netherlands, Singapore.

Pay: $60–$120/hr

Role Title: Competitive Data Scientist

Pay: $60–$120/hour

Location: Global, fully remote

Job Type: Contractor (~15 hours per week)

Schedule: Flexible-you choose the hours and days you work, including weekends if desired

We're looking for data scientists, machine learning practitioners, and applied mathematics experts with competitve 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. Each task should have a reproducible environment, a verified reference solution, and reliable checks for successful completion.

What You’ll Do

• 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.

What We’re Looking For

• 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.

Huge Pluses

• Strong coding experience, particularly in Python, including testing, debugging, and working with unfamiliar code