GenAI Data Scientist (Python & SQL) - Remote Freelance

Mindrift

Turbigo

On-site

EUR 32,639 - 46,486

Part time

14 days+
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Benefits offered by this job

Competitive pay based on expertise
Flexible working hours
Opportunity to work on advanced AI projects
Enhance your portfolio with practical experience

Job summary

A forward-thinking AI company is seeking a Data Science AI Trainer to develop complex data science problems for diverse industries. This fully remote freelance role offers flexible working hours, allowing you to contribute your expertise on your own schedule. Candidates should hold a Master's or PhD in a quantitative field and have substantial experience in data science, Python programming, and advanced statistical analysis. Competitive rates of up to $34/hour are available based on skills and experience.

Qualifications

  • Minimum of 5 years of hands-on data science experience with proven impact.
  • Portfolio showcasing completed projects and publications required.
  • Advanced level of English (C1) or above.

Responsibilities

  • Design original computational data science problems for various industries.
  • Create complex problems requiring Python programming to solve.
  • Ensure problems are computationally intensive and scalable.

Skills

Python programming
Statistical analysis
Machine learning
SQL and database operations
Data manipulation and analysis
MLOps practices
TensorFlow
PyTorch
GenAI technologies

Education

Master's or PhD Degree in Data Science, Statistics, Mathematics or related field

Job description

A forward-thinking AI company is seeking a Data Science AI Trainer to develop complex data science problems for diverse industries. This fully remote freelance role offers flexible working hours, allowing you to contribute your expertise on your own schedule. Candidates should hold a Master's or PhD in a quantitative field and have substantial experience in data science, Python programming, and advanced statistical analysis. Competitive rates of up to $34/hour are available based on skills and experience.
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