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

Synthires; United States; Remote; USD 207,000 - 276,000; Full time

Benefits offered by this job

Fully remote work

Approximately 100 openings

Job summary

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

Responsibilities include creating prompts, datasets, and reference solutions; identifying methodological flaws and statistical errors; and assessing data analysis and modeling approaches. The role is fully remote with flexible openings.

Qualifications

• At least 1 year of experience at a leading company in technology, finance, research, or a related field.
• 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.

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.

Skills

Python

Statistics

Machine Learning

Data analysis

Experimentation

Communication

Tools

Pandas

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.
• Approximately 100 openings available.