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

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

Job summary

Synthires in San Francisco is seeking data scientists and quantitative professionals to improve AI models by examining outputs in statistics, machine learning, experimentation, and quantitative reasoning.

You will develop prompts, datasets, and reference solutions, identify flawed methodologies, and provide feedback to enhance model performance and reliability.

Qualifications

• Strong knowledge of Python, machine learning, statistics, and data analysis.
• Experience with experimentation, Pandas, and data modeling.
• Ability to evaluate quantitative problems and identify methodological or statistical errors.
• Strong analytical and problem-solving skills.

Responsibilities

• Evaluate AI-generated outputs involving 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 feedback to improve AI model performance and reliability.

Skills

Python

Machine learning

Statistics

Data analysis

Pandas

Data modeling

Analytical thinking

Problem solving

Tools

Pandas

NumPy

scikit-learn

Job description

micro1 is partnering with a leading AI lab to engage data scientists and quantitative professionals in improving AI models' capabilities in statistics, machine learning, experimentation, and quantitative reasoning.

Key Responsibilities

• Evaluate AI-generated outputs involving 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 feedback to improve AI model performance and reliability.

Required Qualifications

• Strong knowledge of Python, machine learning, statistics, and data analysis.
• Experience with experimentation, Pandas, and data modeling.
• Ability to evaluate quantitative problems and identify methodological or statistical errors.
• Strong analytical and problem-solving skills.

Preferred Qualifications

• At least one year of experience working at a leading company in technology, finance, or research, with some of that experience within the past seven years.
• Based in an English-speaking country.
• Ability to communicate technical and statistical concepts clearly in writing.

Compensation

• Hourly compensation of $245–$280.

Application Process

The application process was not specified in the provided listing.