Contract Data Scientist: Flexible Hours & Competitive Pay

EVB; United States; Remote; USD 83,000 - 124,000; Part time

Benefits offered by this job

Competitive package

Job summary

EVB is seeking data scientists, ML practitioners, and applied mathematicians for a contractor role (~15 hours per week) with a flexible schedule. You will create reproducible tasks, build verifiable environments, and craft evaluation criteria to distinguish correct solutions in a competitive data science context.

Applicants should have experience with data science, ML, and competitive platforms (Kaggle, DrivenData), plus strong programming skills in Python for implementing and testing solutions.

Qualifications

• Demonstrated experience in data science, ML, quantitative modeling, or relevant research competitions (Kaggle, DrivenData).
• Strong problem-solving ability and a clear understanding of the methods you use.
• Practical programming ability to implement and verify your own solutions.

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.

Skills

Data science

Machine learning

Quantitative modeling

Kaggle

DrivenData

Python

Tools

Python

Jupyter

Job description

EVB is seeking data scientists, ML practitioners, and applied mathematicians for a contractor role (~15 hours per week) with a flexible schedule. You will create reproducible tasks, build verifiable environments, and craft evaluation criteria to distinguish correct solutions in a competitive data science context.

Applicants should have experience with data science, ML, and competitive platforms (Kaggle, DrivenData), plus strong programming skills in Python for implementing and testing solutions.