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YO IT 컨설팅

Data Scientist

YO IT Consulting

Remote · 계약

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샐러리
채용 공고
1
게시됨
3시간전
작업 모드
재택근무
재개하다
신청 시 필수 사항

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Job Overview

This contractor position as a Data Scientist offers a remote opportunity to contribute to training advanced AI systems by leveraging domain expertise rather than AI-specific experience. You will play a critical role in shaping model capabilities by providing high-quality, real-world data inputs.

Key Responsibilities

  • Gather, cleanse, and prepare diverse datasets to maintain data integrity for thorough analysis.
  • Create, test, and implement statistical and predictive models to derive meaningful insights from complex data.
  • Perform exploratory analysis to uncover trends and patterns that can drive business improvements.
  • Deliver clear, compelling data visualizations and reports suitable for audiences with varying technical knowledge.
  • Work in collaboration with team members to plan and execute data projects from concept through completion.
  • Enhance existing analytical methods and automate data processes to improve efficiency.
  • Effectively communicate findings and suggestions in both written and oral presentations, ensuring clarity and influence.

Required Skills and Qualifications

  • Strong foundation in statistics, mathematics, and advanced data analysis methods.
  • Experience handling large, complex datasets including collection and cleaning processes.
  • Proficiency with programming languages such as Python, R, or equivalents focused on data manipulation and modeling.
  • Competence in building and validating data models with a focus on predictive analytics.
  • Advanced data visualization skills using tools like Tableau, Power BI, or comparable libraries.
  • Detail-oriented approach ensuring high standards of data quality throughout workflows.
  • Superior verbal and written communication abilities emphasizing clarity and accuracy.

Preferred Qualifications

  • Experience working in remote, cross-functional, or client-centered teams.
  • Background in creating and deploying machine learning models in production environments.

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