Data Scientist (Remote | $150–$200/hr)

Synthires; California; Remote; USD 207,000 - 276,000; Part time

Benefits offered by this job

Fully remote work

Independent contractor engagement

Job summary

Synthires is seeking a Data Scientist for a remote, contractor engagement to support an AI research project. You will evaluate model performance across statistics, machine learning, experimentation, and quantitative reasoning, contributing to accuracy and analytical capabilities.

Your duties include creating prompts and datasets, identifying methodological flaws, and delivering structured feedback to guide improvements.

Qualifications

• At least 1 year of experience at a leading company in technology, finance, research, or a related field, with some experience within the past 3 years.
• Strong understanding of Python, statistics, machine learning, and data analysis.
• Experience with Pandas, data modeling, and experimentation.
• Strong analytical and quantitative reasoning skills.
• Ability to communicate technical and statistical concepts clearly in writing.
• Based in an English-speaking country.

Responsibilities

• Evaluate AI-generated outputs involving data science, statistics, machine learning, and quantitative problems.
• Create challenging prompts, datasets, and reference solutions.
• Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning.
• Assess data analysis, experimentation approaches, and data modeling techniques.
• Provide structured, actionable feedback to improve AI model performance.

Skills

Python

Statistics

Machine learning

Data analysis

Pandas

Data modeling

Experimentation

Written communication

Tools

Pandas

Job description

Data Scientist

Position: Data Scientist

Type: Contractor

Compensation: $150–$200/hour

Location: Remote

About the Opportunity

We are seeking Data Scientists and Quantitative Professionals with experience at leading organizations to support an AI research project. You’ll evaluate AI model performance across statistics, machine learning, experimentation, and quantitative reasoning to help improve model accuracy and analytical capabilities.

Key Responsibilities

• Evaluate AI-generated outputs involving data science, statistics, machine learning, and quantitative problems.
• Create challenging prompts, datasets, and reference solutions.
• Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning.
• Assess data analysis, experimentation approaches, and data modeling techniques.
• Provide structured, actionable feedback to improve AI model performance.

Required Qualifications

• At least 1 year of experience at a leading company in technology, finance, research, or a related field, with some experience within the past 3 years.
• Strong understanding of Python, statistics, machine learning, and data analysis.
• Experience with Pandas, data modeling, and experimentation.
• Strong analytical and quantitative reasoning skills.
• Ability to communicate technical and statistical concepts clearly in writing.
• Based in an English-speaking country.

Preferred Qualifications

• Experience evaluating statistical models, machine learning outputs, or quantitative methods.
• Strong knowledge of experimental design, data interpretation, and methodological validation.
• Ability to develop rigorous datasets and reference solutions for complex analytical problems.

Compensation

• $150–$200/hour.
• Independent contractor engagement.
• Fully remote work.