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Data Science Expert

Posted 1 day ago by Great Value Hiring

Summary: The Data Science Expert role involves evaluating AI systems' performance in real-world data science tasks and establishing criteria for excellence. Candidates will design grading criteria, score work samples, and provide detailed justifications for their assessments. The position requires a strong background in data science and experience in business operations or product data science. Excellent written communication and attention to detail are essential for success in this role.

Key Responsibilities:

  • Design precise, task-specific grading criteria for real-world data science deliverables (analyses, models, dashboards, experiment readouts, and written recommendations).
  • Score AI-generated and human work samples against those criteria, with detailed written justifications for every score.
  • Apply consistent, evidence-based judgment so that scores are reproducible and defensible.
  • Incorporate structured feedback from senior reviewers and iterate quickly on your work.

Key Skills:

  • 5+ years of professional data science experience in industry.
  • Background in business operations, product, or growth data science at top-tier technology companies.
  • Deep fluency in experiment design and A/B testing, metric definition, SQL/Python analysis, and communicating findings to executive stakeholders.
  • Exceptionally strong written communication.
  • Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers.
  • Prior experience with AI training, evaluation, or human-data projects is a strong plus.

Salary (Rate): £170.00/hr

City: undetermined

Country: United Kingdom

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

description: Data Science Expert [$120-$170/hr] Experienced data scientists to evaluate how well AI systems perform real-world data science work and define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications Role Responsibilities Design precise, task-specific grading criteria for real-world data science deliverables (analyses, models, dashboards, experiment readouts, and written recommendations) Score AI-generated and human work samples against those criteria, with detailed written justifications for every score Apply consistent, evidence-based judgment so that scores are reproducible and defensible Incorporate structured feedback from senior reviewers and iterate quickly on your work Good Candidature 5+ years of professional data science experience in industry Background in business operations, product, or growth data science at top-tier technology companies Deep fluency in experiment design and A/B testing, metric definition, SQL/Python analysis, and communicating findings to executive stakeholders Exceptionally strong written communication Detail-oriented, consistent, and comfortable having your judgment reviewed and calibrated against peers Prior experience with AI training, evaluation, or human-data projects is a strong plus

Rate:
£0/year
Location:
United Kingdom
IR35 Status:
Undetermined
Remote Status:
Undetermined
Industry:
IT
Seniority Level:
Not Specified

Take-Home Pay

Not Available

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