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Data Scientist

Micro1

Data Scientist Contractor
Remote (Global) $114 – $114/hr April 14, 2026

Job description

About the Company

micro1 connects skilled engineers and data professionals with global companies, enabling high-impact remote work across cutting-edge AI and data-driven teams.

Role Overview

Join our customer's team as a Data Scientist, where you'll play a key role in advancing AI training initiatives.

In this remote, expert-level role, you will solve complex data challenges, contribute to model development, and generate insights that drive impactful decision-making.

Key Responsibilities

  • Design, develop, and implement machine learning models for AI training
  • Analyze and interpret large, complex datasets to guide strategy
  • Collaborate with cross-functional teams to deliver actionable insights
  • Validate models through rigorous performance testing and evaluation
  • Document methodologies, findings, and workflows clearly
  • Maintain high standards of data quality, privacy, and security
  • Research and apply cutting-edge data science techniques

Required Skills & Qualifications

  • 5+ years of experience as a Data Scientist in AI/ML projects
  • Strong proficiency in:
    • Python
    • R
  • Deep understanding of:
    • Machine learning algorithms
    • Statistical analysis
    • Data mining techniques
  • Experience working with large-scale structured and unstructured datasets
  • Strong communication skills (written and verbal)
  • Ability to work independently in a remote environment
  • High attention to detail and strong problem-solving mindset

Preferred Qualifications

  • Experience with AI training projects
  • Background in:
    • Deep learning
    • NLP (Natural Language Processing)
    • Reinforcement learning
  • Familiarity with cloud platforms:
    • AWS
    • GCP
    • Azure

Work Details

  • Work Type: Fully remote
  • Engagement: Contractor
  • Collaborative, distributed data team

Additional Notes

  • Opportunity to work on impactful AI training initiatives
  • Ideal for professionals passionate about data, machine learning, and innovation
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