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

Synthires; India; On-site; INR 32,705,000 - 37,377,000; Full time

Job summary

Synthires is seeking experienced Data Scientists and Quantitative Professionals to support an AI initiative focused on statistics, ML, experimentation, and quantitative reasoning. You will evaluate model outputs, craft expert-grade tasks, and deliver rigorous feedback to improve performance.

Required experience includes 1+ year at a top company in tech/finance/research within the last 7 years, with strong Python, ML, statistics, data analysis, Pandas, and data modeling skills.

Qualifications

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

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.

Skills

Python

Machine learning

Statistics

Data analysis

Experimentation

Pandas

Data modeling

Tools

Pandas

Jupyter

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.