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YO IT 컨설팅

Data Scientist

YO IT Consulting

Remote · 계약

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4시간 전
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Overview

We are seeking a Data Scientist to join our team on a contract basis, working remotely. This role focuses on leveraging your domain expertise to contribute to the advancement of next-generation AI technologies by providing high-quality, real-world data inputs. Prior experience in AI is not mandatory; your domain knowledge remains the primary asset.

Key Responsibilities

  • Gather, cleanse, and preprocess various datasets to maintain integrity and ensure they are analytic-ready.
  • Design, test, and deploy statistical models to derive meaningful insights from intricate data.
  • Perform exploratory data analysis to uncover trends, patterns, and business improvement opportunities.
  • Create and deliver compelling visualizations and reports suited to both technical and non-technical audiences.
  • Work collaboratively with team members to manage data projects from conception through execution and delivery.
  • Enhance data workflows by refining analytic methods and automating processes.
  • Effectively communicate data findings in both written and spoken formats, ensuring clear understanding and actionable recommendations.

Required Skills and Qualifications

  • Strong foundation in statistics, mathematics, and data analysis methodologies.
  • Demonstrated experience in collecting, managing, and cleaning large and complex datasets.
  • Proficiency in programming languages such as Python, R, or equivalents utilized for data manipulation and modeling.
  • Competent in data modeling, including building and validating predictive analytics models.
  • Advanced skills in data visualization using tools like Tableau, Power BI, or related libraries.
  • Keen attention to detail with a strong commitment to maintaining data quality through all processes.
  • Exceptional written and verbal communication skills focused on clarity and precision.

Preferred Qualifications

  • Experience working remotely within a cross-functional or customer-oriented team setting.
  • Background in developing and implementing machine learning solutions in production environments.

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