Senior Data Scientist — Evaluation & Scoring (Remote)

YO IT Consulting; Lavamünd; On-site; EUR 81,900 - 145,600; Full time

Benefits offered by this job

Weekly payments via Stripe or Wise

Job summary

YO IT Consulting is seeking an experienced Data Scientist contractor for a remote role. You will collaborate with a leading AI research organization to define excellence criteria for data science work and to score real-world samples with rigorous written justifications.

The position emphasizes evaluative guidance rather than direct deliverables. The ideal candidate has 5+ years in data science across business ops, product, or growth, with strong design of experiments, metricDefinition,

Qualifications

• 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.

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

Skills

5+ years data science experience

Experiment design & A/B testing

SQL & Python analysis

Executive communication

Attention to detail

AI training/evaluation experience

Tools

SQL

Python

Job description

Job Title: Data Scientist

Job Type: Contractor

Location: Remote

• Role Overview
  
  

Partnering with a leading AI research organization to engage experienced data scientists for a project focused on evaluating how well AI systems perform real-world data science work. Rather than producing deliverables yourself, you will define what excellent work looks like: designing task-specific grading criteria and scoring completed work samples with rigorous, well-reasoned written justifications.

• 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
• Ideal Qualifications
• 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
• Application Process
• Submit your resume or relevant technical background to get started
• Qualified applicants may be asked to complete a brief technical assessment or submit additional information
  
  

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

Contract and Payment Terms

• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Payments are weekly on Stripe or Wise based on services rendered.