Data Scientist Talent Network

Weekday AI

  • 30+ days ago

    Highlights

    Future projects may involve: Designing precise, task-specific grading criteria for data science deliverables, including exploratory data analyses, statistical modeling work, machine learning pipelines, experimentation and A/B test write-ups, feature engineering, and technical reports or notebooks. Strong command of Python, SQL, statistical modeling, machine learning, experimentation and causal inference, and translating messy real-world data into rigorous analyses.

    Numbers & Facts

    Location

    Description

    Description

    This role is for one of our clients

    Compensation: $100-$150 per hour

    We are building a network of experienced data scientists for potential future projects with leading AI research organizations. These projects may focus on evaluating how effectively AI systems perform real-world data science work.

    There is no immediate project opening, but qualified applicants may be contacted as relevant opportunities become available.



    Requirements

    Potential Responsibilities

    Future projects may involve:

    • Designing precise, task-specific grading criteria for data science deliverables, including exploratory data analyses, statistical modeling work, machine learning pipelines, experimentation and A/B test write-ups, feature engineering, and technical reports or notebooks
    • Evaluating AI-generated or human-created work against established criteria
    • Providing detailed written justifications for evaluations and scores
    • Applying consistent, evidence-based judgment so that assessments are reproducible and defensible
    • Incorporating structured feedback from senior reviewers and iterating on submitted work

    Specific responsibilities will vary depending on the project.

    Ideal Qualifications

    • 1+ years of professional data science experience
    • Experience at a leading technology, research, or quantitative firm (such as top FAANG, AI labs, top-tier quant funds, or equivalent)
    • Strong command of Python, SQL, statistical modeling, machine learning, experimentation and causal inference, and translating messy real-world data into rigorous analyses
    • Exceptional written communication skills, including the ability to convey technical findings clearly
    • A detail-oriented and consistent approach to evaluating complex work
    • Comfort receiving feedback and calibrating judgment against established standards

    We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

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