Remote ML Scientist — Applied AI Researcher (Contract)

Synthires; New York (NY); À distance; USD 338 000 - 386 000; Temps partiel

Résumé du poste

Synthires is seeking an Applied Scientist on a remote, contractor basis to contribute expertise in analytics, ML, and experimentation. You will design analyses, develop models, and provide reproducible code and reports.

The role emphasizes collaboration, high-quality datasets, and expert feedback to advance AI systems. Strong Python and Pandas skills are required, with excellent communication abilities.

Qualifications

• Strong proficiency in Python and data analysis.
• Knowledge of machine learning, statistics, experimentation, and data modeling.
• Experience with Pandas and related data science tools.
• Strong analytical, problem-solving, and quantitative reasoning skills.
• Excellent written and verbal communication skills.

Responsabilités

• Design and execute statistical analyses to uncover insights from complex datasets.
• Develop, validate, and evaluate machine learning models for business and research objectives.
• Apply data modeling techniques and manage data transformations using Python and Pandas.
• Collaborate with stakeholders to establish experimentation frameworks and analyze outcomes.
• Document methodologies, findings, and recommendations clearly and accurately.
• Review peer contributions and provide constructive technical feedback.
• Deliver reproducible code and organized analytical reports.
• Evaluate AI model outputs involving statistics, machine learning, experimentation, and quantitative reasoning.
• Create expert-level prompts, datasets, and reference solutions.
• Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning.
• Provide structured feedback to improve AI model performance.

Connaissances

Python

Data analysis

Machine learning

Pandas

Statistics

Experimentation

Data modeling

Outils

Pandas

scikit-learn

Description du poste

Synthires is seeking an Applied Scientist on a remote, contractor basis to contribute expertise in analytics, ML, and experimentation. You will design analyses, develop models, and provide reproducible code and reports.

The role emphasizes collaboration, high-quality datasets, and expert feedback to advance AI systems. Strong Python and Pandas skills are required, with excellent communication abilities.