Remote ML Researcher (Contractor) — Applied Stats

Synthires; United States; Remote; USD 338,000 - 386,000; Full time

Benefits offered by this job

Health insurance

Job summary

Synthires is seeking skilled Applied Scientists to contribute to a data-driven project focused on advanced analytics, statistical analysis, and experimentation. You will apply Python, machine learning, and applied statistics to help train and evaluate next-generation AI systems.

Your work will improve how AI models learn and perform by providing quantitative problem-solving and clear technical communication. Prior AI experience is not required; domain expertise matters.

Qualifications

• Proficiency in Python for data analysis and ML.
• Experience with Pandas and scikit-learn.
• Applied statistics, experimental design, and ML knowledge.
• Experience with structured and unstructured data.

Responsibilities

• Design and conduct statistical analyses on complex datasets.
• Develop, validate, tune, and evaluate ML models.
• Apply data modeling techniques and Python data workflows.
• Collaborate to establish experimentation frameworks and analyze results.
• Document methodologies and findings clearly.
• Provide reproducible code and analytical reports.
• Review peer contributions and deliver high-quality feedback.
• Evaluate AI outputs involving statistics and ML.
• Create expert prompts, datasets, and reference solutions.
• Identify flawed methodologies and improve quantitative reasoning.
• Provide structured feedback to improve AI model performance.

Skills

Python

Pandas

scikit-learn

Applied statistics

Experimental design

Machine learning

Data modeling

Structured data

Unstructured data

Technical writing

Reproducible code

Education

Advanced degree in data science / statistics

Tools

Python

Pandas

scikit-learn

Job description

Synthires is seeking skilled Applied Scientists to contribute to a data-driven project focused on advanced analytics, statistical analysis, and experimentation. You will apply Python, machine learning, and applied statistics to help train and evaluate next-generation AI systems.

Your work will improve how AI models learn and perform by providing quantitative problem-solving and clear technical communication. Prior AI experience is not required; domain expertise matters.