Data Scientist (Remote | $245–$280/hr)

Synthires; San Francisco (CA); On-site; USD 338,000 - 386,000; Full time

Job summary

Synthires is seeking experienced Data Scientists and Quantitative Professionals for an AI project in which models handle statistics, ML, experimentation, and quantitative reasoning. You will evaluate AI-generated outputs, design high‑quality data science tasks, and provide rigorous feedback to improve model performance.

Responsibilities include creating prompts, datasets, and reference solutions, identifying statistical issues, and delivering structured critique to enhance AI model capabilities.

Qualifications

• At least 1 year of experience at a top company in tech, finance, research, or related field.
• Experience within the past 7 years.
• Strong knowledge of Python, ML, statistics, data analysis, experimentation, pandas and data modeling.
• Ability to evaluate quantitative reasoning and statistical methodologies.
• Excellent written communication for explaining technical concepts.
• Based in an English-speaking country.

Responsibilities

• Evaluate AI model outputs across data science, statistics, ML, and quantitative problems.
• Create expert prompts, datasets, and reference solutions.
• Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning.
• Provide structured, high-quality feedback to improve AI model capabilities.
• Apply strong analytical judgment when reviewing complex technical solutions.

Skills

Python

Machine learning

Statistics

Data analysis

Experimentation

Pandas

Data modeling

Quantitative reasoning

Job description

We are seeking experienced Data Scientists and Quantitative Professionals to support an AI project focused on improving how models handle statistics, machine learning, experimentation, and quantitative reasoning.

You’ll evaluate AI-generated outputs, create expert-level data science tasks, and provide rigorous feedback to improve model performance.

Key Responsibilities

• Evaluate AI model outputs across data science, statistics, machine learning, and quantitative problems.
• Create expert-level prompts, datasets, and reference solutions.
• Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning.
• Provide structured, high-quality feedback to improve AI model capabilities.
• Apply strong analytical judgment when reviewing complex technical solutions.

Required Qualifications

• At least 1 year of experience at a top company in technology, finance, research, or a related field.
• Relevant experience within the past 7 years.
• Strong knowledge of Python, machine learning, statistics, data analysis, experimentation, pandas, and data modeling.
• Strong ability to evaluate quantitative reasoning and statistical methodology.
• Excellent written communication skills for explaining technical and statistical concepts.
• Based in an English-speaking country.

Preferred Qualifications

• Experience evaluating or reviewing complex data science or quantitative work.
• Strong ability to identify subtle methodological and statistical issues.
• Experience developing structured technical solutions, datasets, or analytical workflows.

Compensation

• Competitive compensation of $245–$280/hour.