Data Scientist Talent Network

Posted 11 Hours Ago
Hiring Remotely in United States
Remote
100-150 Hourly
Junior
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Builds a talent network of experienced data scientists for potential future AI evaluation projects. Responsibilities may include creating grading criteria, evaluating AI-generated or human-produced data science work, writing evidence-based justifications, applying consistent judgment, and incorporating reviewer feedback. Candidates should have professional data science experience, strong Python and SQL skills, expertise in statistical modeling, machine learning, experimentation, causal inference, and excellent technical communication.
Summary Generated by Built In

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.

Skills Required

  • 1+ years of professional data science experience
  • Experience at a leading technology, research, or quantitative firm, such as a top FAANG company, AI lab, top-tier quant fund, or equivalent
  • Strong command of Python and SQL
  • Strong command of statistical modeling and machine learning
  • Experience with experimentation and causal inference
  • Ability to translate messy real-world data into rigorous analyses
  • Exceptional written communication skills for clearly conveying technical findings
  • Detail-oriented and consistent approach to evaluating complex work
  • Comfort receiving feedback and calibrating judgment against established standards
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The Company
Year Founded: 2021

What We Do

Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.

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