Senior Data Scientist (Remote) — Evaluation Contract

YO IT Consulting; Portugal; Presencial; EUR 60 000 - 90 000; Tempo parcial

Vantagens oferecidas por esta oferta de emprego

Weekly payments

Resumo da oferta

YO IT Consulting is seeking a Data Scientist on a fully remote, contractor basis to partner with an AI research organization. Your role is to define what excellent work looks like by designing grading criteria and scoring samples with rigorous written justifications.

Ideal candidates have 5+ years in data science, strong SQL/Python, and deep expertise in experiment design and A/B testing, with the ability to convey findings to executive stakeholders. Weekly payments are provided.

Qualificações

• 5+ years of professional data science experience in industry.
• Background in business operations, product, or growth data science at top-tier tech 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.

Responsabilidades

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

Conhecimentos

5+ years data science

Experiment design & A/B testing

SQL & Python analysis

Executive communication

Written communication

Attention to detail

Judgment calibration

AI training/evaluation experience

Descrição da oferta de emprego

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.