Remote AI Data Scientist — Quantitative Evaluation

Synthires; Seattle (WA); Remote; USD 207,000 - 276,000; Full time

Benefits offered by this job

Fully remote work

Job summary

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

Key responsibilities include creating prompts and datasets, identifying methodological flaws, and assessing data modeling approaches. This is a fully remote position with ~100 openings and a strong emphasis on clear statistical

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.
• 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.

Skills

Data science

Statistics

Machine learning

Data analysis

Tools

Pandas

Data modeling

Experimentation

Job description

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

Key responsibilities include creating prompts and datasets, identifying methodological flaws, and assessing data modeling approaches. This is a fully remote position with ~100 openings and a strong emphasis on clear statistical