Remote Data Scientist for AI Evaluation & Modeling

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

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.