Weekday

Weekday helps companies hire engineers who are vouched by other software engineers, enabling passive income for engineers. They offer services like drafting outreach messages, shortlisting candidates, and conducting reference checks. Backed by Y Combin...

Construction & Engineering

Industrials

11-50 (45)

Founded 2020

84 open positions

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Data Science & Quantitative Analysis Expert

3 weeks, 5 days ago

United States

Contract

Junior

AI (Artificial Intelligence)

Data Science and Analytics

Git LLM Machine Learning NumPy Pandas Python Scikit-learn SciPy Statistics

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Weekday

Construction & Engineering

11-50

Founded 2020

View All Jobs 84

Description

Design realistic data analysis challenges based on data preparation, statistical modeling, hypothesis testing, and comparative analysis workflows.
Develop reproducible reference analyses in Jupyter Notebooks or Google Colab and document methods and findings clearly.
Create benchmark tasks that compare analytical techniques using statistical validation and evidence-based recommendations.
Evaluate AI-generated analyses for correctness, statistical validity, reasoning quality, and interpretation accuracy.
Identify analytical errors, flawed assumptions, and reasoning gaps in AI outputs.
Collaborate with AI researchers and subject matter experts to improve benchmark quality, consistency, and rigor.

Requirements

Master's degree, PhD, or equivalent practical experience in Data Science, Statistics, Mathematics, Economics, Operations Research, or another quantitative STEM discipline.
At least 1 year of professional experience in research, research engineering, quantitative analysis, data science, or another data-intensive analytical role.
Strong hands-on experience with data cleaning, exploratory data analysis, statistical testing, correlation analysis, predictive modeling, and interpretation of results.
Proficiency with Jupyter Notebooks or Google Colab for reproducible analytical workflows.
Strong Python programming skills, including experience with pandas, NumPy, SciPy, scikit-learn, or similar frameworks.
Working knowledge of Git and collaborative software development practices.
Excellent written communication skills for technical and non-technical audiences.
Experience with AI evaluation, benchmark development, AI model assessment, or task authoring is preferred.
Experience designing reproducible research workflows or analytical evaluation frameworks is preferred.
Familiarity with machine learning, large language models, or AI-assisted data analysis is preferred.
Background in benchmark design, statistical modeling, or quantitative research methodology is preferred.
Experience reviewing analytical work, mentoring analysts, or contributing to research publications is preferred.
Ability to commit approximately 35 hours per week on a consistent basis.

Benefits

Compensation of $60-$90 per hour.
Fully remote engagement with flexible working hours.
Independent contractor arrangement.
Weekly payments based on approved work completed.
Potential for the project to be extended, shortened, or concluded based on project needs and performance.
Inclusive hiring process with reasonable accommodations available.
Opportunity to work on impactful AI research initiatives with leading researchers.

Interested in this position?

Apply directly on the company website

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