Remote Data Science & GenAI Trainer (Freelance)

Mindrift; Canada; Remote; CAD 62,508 - 89,027; Part time

Benefits offered by this job

Competitive pay rates

Flexible freelance schedule

Experience with advanced AI projects

Job summary

A leading AI company is seeking a Freelance Data Science Expert to collaborate on innovative AI projects. Candidates should have a Master's or PhD in a quantitative field, at least 5 years of data science experience, and proficiency in Python and SQL. The role is fully remote and part-time, offering competitive rates up to $55/hour. Join this opportunity to influence future AI models and enhance your portfolio, while enjoying the flexibility to work from anywhere.

Qualifications

• Master's or PhD Degree in Data Science, Statistics, Mathematics, Computer Science.
• At least 5 years of data science experience with proven impact.
• Portfolio showcasing real-world problem-solving.
• Expertise in Python for data science and SQL.
• Experience with GenAI technologies and MLOps.

Responsibilities

• Design computational data science problems simulating analytical workflows.
• Ensure problems require complex reasoning and non-trivial analysis.
• Document clear problem statements with business contexts.

Skills

Python programming

Statistical analysis

Machine learning

SQL

Data science methodologies

GenAI technologies

MLOps practices

TensorFlow

PyTorch

Prompt engineering

Education

Master's or PhD in Data Science, Statistics, Mathematics, Computer Science

Tools

pandas

numpy

scipy

scikit-learn

statsmodels

Job description

A leading AI company is seeking a Freelance Data Science Expert to collaborate on innovative AI projects. Candidates should have a Master's or PhD in a quantitative field, at least 5 years of data science experience, and proficiency in Python and SQL. The role is fully remote and part-time, offering competitive rates up to $55/hour. Join this opportunity to influence future AI models and enhance your portfolio, while enjoying the flexibility to work from anywhere.