At a Glance
- Tasks: Design grading criteria and evaluate data science deliverables with precision.
- Company: Join a leading tech firm at the forefront of innovation.
- Benefits: Earn $100-$150/hr, enjoy flexible hours, and enhance your skills.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Make an impact by shaping the future of data science evaluations.
- Qualifications: 1+ years in data science, strong Python and SQL skills required.
The predicted salary is between 150 - 150 Β£ per hour.
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.
Role Responsibilities:
- Designing precise, task-specific grading criteria for data science deliverables.
- Evaluating AI-generated or human-created work against established criteria.
- Providing detailed written justifications for evaluations and scores.
- Applying consistent, evidence-based judgment.
- Incorporating structured feedback from senior reviewers.
Good Candidature:
- 1+ years of professional data science experience.
- Experience at a leading technology, research, or quantitative firm.
- Strong command of Python, SQL, statistical modeling, machine learning, experimentation and causal inference.
- Exceptional written communication skills.
- A detail-oriented and consistent approach to evaluating complex work.
- Comfort receiving feedback and calibrating judgment against established standards.
Data Scientist employer: Great Value Hiring
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