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Great Value Hiring

Data Scientist

Great Value Hiring

United Kingdom · Договор

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Опыт
1+ лет
Зарплата
USD 100 – USD 150 / hour
Открытия
1
Опубликовано
2 часа назад
Режим работы
В офисе
Резюме
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Где вы будете работать

Описание работы

Role Overview

Seeking a Data Scientist to join on a contract basis, focusing on designing and assessing data science deliverables with high precision. Responsibilities include creating grading criteria for various data science outputs and ensuring evaluations are consistent and well-justified. The role requires close collaboration with senior reviewers to refine deliverables based on feedback.

Key Responsibilities

  • Develop targeted, task-specific grading standards for outputs such as exploratory data analysis, statistical models, machine learning workflows, A/B testing reports, feature engineering, and technical documentation.
  • Assess both AI-generated and human-produced work against these established benchmarks.
  • Compose comprehensive written explanations for evaluation scores and judgments.
  • Maintain consistent, evidence-driven evaluations ensuring assessments are reproducible and defendable.
  • Incorporate feedback from senior reviewers and update submissions accordingly.

Candidate Profile

  • At least one year of professional experience in data science roles.
  • Background in recognized technology, research, or quantitative organizations like top-tier FAANG companies, AI research labs, or elite quantitative funds.
  • Proficiency in Python programming, SQL, statistical analysis, machine learning, experimentation methods, causal inference, and handling complex real-world datasets effectively.
  • Outstanding ability to communicate technical results clearly in writing.
  • Strong attention to detail and consistent methodology when evaluating sophisticated data science work.
  • Openness to constructive feedback with the ability to adjust assessments to align with standardized criteria.

Work styles they’re looking for

Внимание к деталям Письменная коммуникация Consistency

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