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

Synthires; United States; On-site; USD 338,000 - 386,000; Full time

Job summary

Synthires, in partnership with a leading AI lab, is seeking data scientists and quantitative professionals to advance AI models in statistics, machine learning, experimentation, and quantitative reasoning.

Key responsibilities include evaluating AI-generated outputs in data science contexts, creating expert prompts, datasets and reference solutions, identifying flawed methodologies and statistical errors, and providing structured feedback to improve 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

Experimentation

Pandas

Data modeling

Analytical thinking

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.