Data Science Expert
YO IT ConsultingRemoteFull Time2d ago
PythonAIData ScienceSQLOperationsGrowthTestingremotecurated-jd
Job description
Data Science Expert at YO IT Consulting.
About the role
We are looking for seasoned data scientists to assist a top-tier AI research firm in assessing how effectively artificial intelligence handles practical data tasks. Instead of building models yourself, you will establish high-quality benchmarks and provide detailed, evidence-based evaluations of work samples produced by AI and humans.
Key facts
What you'll do
- Create specific grading rubrics for data science outputs including models, dashboards, experiment results, and business recommendations.
- Evaluate work samples by assigning scores and writing thorough justifications for your decisions.
- Maintain high standards of consistency so that your assessments remain defensible and reproducible.
- Adjust your evaluation approach based on structured feedback from senior team members.
Requirements
- Minimum of 5 years of professional experience in data science.
- Previous work history in growth, product, or business operations data science at major technology firms.
- Mastery of Python, SQL, A/B testing, experiment design, and presenting insights to executive leadership.
- Excellent writing skills.
- High attention to detail and willingness to have your work calibrated against other experts.
Nice to have
- Previous involvement in AI training, human-in-the-loop data projects, or model evaluation.
Skills & tools
- Python
- SQL
- A/B testing
- Experiment design
Practical notes
- This is an independent contractor position.
- You have the flexibility to set your own schedule.
- Project duration is subject to change based on performance and organizational needs.
- Compensation is paid weekly via Wise or Stripe.
- To apply, submit your resume or a summary of your technical background. You may be required to complete a technical assessment.
- YO IT Consulting provides reasonable accommodations for applicants and considers all candidates regardless of protected characteristics.