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Data Science Experts

13 hours, 28 minutes ago
United States
Full-time
Mid Level
AI (Artificial Intelligence)
Data Science and Analytics
LLM Machine Learning Python R SQL
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Weekday

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
11-50
Founded 2020
View All Jobs 143

Description

  • Advise research and engineering teams on statistical methodologies, experimental design, predictive modeling, and analytical best practices.
  • Create complex, real-world data science tasks that test quantitative reasoning, statistical thinking, and machine learning knowledge.
  • Develop accurate, well-structured solutions that reflect industry best practices.
  • Review and assess analytical solutions generated by AI systems and subject matter experts.
  • Identify errors, inconsistencies, flawed assumptions, and opportunities for improvement in model outputs.
  • Provide clear, actionable feedback to enhance model quality and reasoning capabilities.
  • Build scoring rubrics and evaluation methodologies for statistical reasoning, predictive modeling, machine learning workflows, data interpretation, experimental design, and business analytics.
  • Ensure consistent quality standards across datasets and evaluation processes.
  • Work closely with AI researchers, engineers, and domain experts to maintain accuracy, consistency, and rigor in training data development.
  • Help improve AI model performance across data science, analytics, and machine learning domains.

Requirements

  • 3+ years of professional or research experience in Data Science, Statistical Analysis, Machine Learning, Predictive Analytics, Applied Mathematics, Quantitative Research, or Business Analytics.
  • Strong understanding of statistical inference, hypothesis testing, regression analysis, machine learning algorithms, data visualization, and experimental design.
  • Experience working with structured and unstructured datasets.
  • Ability to commit to 40 hours per week during standard business days.
  • Excellent written communication skills with the ability to clearly explain analytical decisions and modeling approaches.
  • Experience with AI systems, Large Language Models (LLMs), or agent-based workflows is preferred.
  • Familiarity with model evaluation, reinforcement learning from human feedback (RLHF), data annotation, or human-in-the-loop systems is preferred.
  • Proficiency in Python, SQL, R, or other analytical programming languages is preferred.
  • Experience building and deploying machine learning solutions in production environments is preferred.
  • An advanced degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Operations Research, or a related quantitative field is preferred.

Benefits

  • Compensation of $70-$100 per hour.
  • Full-time engagement with 40 hours per week.
  • Weekday availability required for standard business days.
  • Opportunity to work on long-term AI research and evaluation initiatives.
  • Work alongside leading researchers and engineers in artificial intelligence.
  • Contribute directly to the development of state-of-the-art AI systems.

Interested in this position?

Apply directly on the company website

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