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

Synthires; San Francisco (CA); Remote; USD 207,000 - 276,000; Full time

Benefits offered by this job

Fully remote

Job summary

Synthires seeks Data Scientists and Quantitative Professionals to support an AI research project. You will evaluate model performance across statistics, ML, experimentation, and quantitative reasoning to improve accuracy and analytics capabilities.

Responsibilities include creating prompts and datasets, identifying methodological flaws, and assessing modeling approaches. Strong communication of technical concepts is essential; remote work is fully supported.

Qualifications

• At least 1 year of professional experience at a leading company in technology, finance, research, or related field.
• Strong understanding of Python, statistics, machine learning, and data analysis.
• Experience with Pandas, data modeling, and experimentation.
• Ability to communicate technical and statistical concepts clearly in writing.

Responsibilities

• Evaluate AI-generated outputs involving data science, statistics, ML, 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.

Skills

Python

Statistics

Machine learning

Data analysis

Tools

Pandas

Data modeling

Experimentation

Job description

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.

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.
• Fully remote work.