Machine Learning and Data Science Expert (English)

Work asynchronously on technical assignments supporting machine learning model development and evaluation for business applications.

• Build, train, and evaluate predictive models using supervised and unsupervised learning.
• Improve model performance through hyperparameter tuning and feature engineering.
• Document methods, model assumptions, and technical decisions clearly.
• Use sound problem-solving and independent judgment on project-based tasks.

• Education: A master's degree in computer science, statistics, mathematics, data science, or another related quantitative field.
• Skills: Practical understanding of programming, empirical analysis, predictive modeling, and model evaluation.
• Work style: Strong problem-solving skills and the ability to work independently on technical assignments.
• Publication or equivalent: At least one first-author publication or equivalent first-author work.
• Language: Professional fluency in English.
• Location: Applicants must be based in a country eligible for this role.
• Helpful background: Teaching machine learning, data science, or applied statistics, especially with a focus on programming and empirical analysis.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

OpenTrain helps people find AI training and data-labeling projects and start applications. AI training is the human work of preparing or reviewing examples used to improve AI systems, and some projects call for specialist skills to handle technical tasks.