Remote ML Scientist - Applied Analytics Contractor

Synthires; United States; À distance; USD 338 000 - 386 000; Plein temps

Résumé du poste

Synthires is seeking an Applied Scientist for a remote, contractor engagement. The role emphasizes advanced analytics, experimentation, statistics, and ML to improve next-generation AI systems.

You will design analyses, build and assess ML models, and collaborate with stakeholders to establish robust experimentation and data workflows. Required skills include Python, Pandas, ML knowledge, and strong communication.

Qualifications

• Strong proficiency in Python and data analysis.
• Knowledge of ML, statistics, experimentation, and data modeling.
• Experience with Pandas and related data science tools.
• Strong analytical and written/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

Communication

Outils

scikit-learn

Pandas

Description du poste

Synthires is seeking an Applied Scientist for a remote, contractor engagement. The role emphasizes advanced analytics, experimentation, statistics, and ML to improve next-generation AI systems.

You will design analyses, build and assess ML models, and collaborate with stakeholders to establish robust experimentation and data workflows. Required skills include Python, Pandas, ML knowledge, and strong communication.