Remote Data Scientist: AI Evaluation & Quantitative Expert

Synthires; Singapore; Remote; SGD 432,000 - 494,000; Full time

Benefits offered by this job

Fully remote

Rolling applications

Flexible workload

Job summary

Synthires is seeking experienced Data Scientists and Quantitative Professionals to contribute to projects focused on improving how advanced AI systems reason about data, statistics, machine learning, experimentation, and quantitative analysis. You will evaluate AI-generated solutions, develop challenging tasks, and provide expert feedback to improve model performance.

Ideal candidates have strong backgrounds in data science, statistics, analytics, or related fields.

Qualifications

• Strong expertise in data science, statistics, machine learning, analytics, or related quantitative field.
• Proficiency in Python and Pandas/NumPy/Scikit-learn.
• Solid understanding of statistical analysis, hypothesis testing, experimentation, and data modeling.
• Experience with large datasets and quantitative problem-solving.
• Ability to identify methodological weaknesses and analytical errors.
• Excellent written communication for explaining technical concepts.
• Strong analytical thinking and attention to detail.
• Ability to work independently in a remote environment.

Responsibilities

• Evaluate AI-generated responses involving data science, machine learning, statistics, and quantitative reasoning.
• Create expert prompts, datasets, evaluation tasks, and reference solutions.
• Review statistical analyses, machine learning workflows, and experimental methodologies for accuracy and rigor.
• Identify flawed assumptions, methodological errors, statistical mistakes, and weaknesses in quantitative reasoning.
• Assess the quality, correctness, and completeness of analytical solutions.
• Provide structured feedback and detailed explanations to support model improvement.
• Develop realistic scenarios involving data analysis, predictive modeling, experimentation, and statistical inference.
• Document findings and recommendations clearly and accurately.

Skills

Data science expertise

Python proficiency

Statistical analysis

Large datasets

Analytical thinking

Written communication

Remote work ability

Quantitative problem-solving

Tools

Pandas

NumPy

Scikit-learn

Job description

Synthires is seeking experienced Data Scientists and Quantitative Professionals to contribute to projects focused on improving how advanced AI systems reason about data, statistics, machine learning, experimentation, and quantitative analysis. You will evaluate AI-generated solutions, develop challenging tasks, and provide expert feedback to improve model performance.

Ideal candidates have strong backgrounds in data science, statistics, analytics, or related fields.