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

Synthires; Greater London; Remote; GBP 153.000 - 205.000; Vollzeit

Benefits dieser Stelle

Fully remote work

Zusammenfassung

Synthires in the United Kingdom is seeking Data Scientists and Quantitative Professionals to support an AI research project. You’ll evaluate model performance across statistics, ML, experimentation, and quantitative reasoning to improve accuracy and analytical capabilities.

Key responsibilities include evaluating AI outputs, creating prompts and datasets, and identifying methodological flaws. Strong communication of technical concepts in writing is essential for collaboration with

Qualifikationen

• 1 year of experience at a leading company in technology, finance, research, or related field.
• Experience within the past 3 years.
• Strong understanding of Python, statistics, machine learning, and data analysis.
• Experience with Pandas, data modeling, and experimentation.
• Strong analytical and quantitative reasoning.
• Ability to communicate technical and statistical concepts clearly in writing.
• Based in an English-speaking country.

Aufgaben

• Evaluate AI-generated outputs involving data science, statistics, machine learning, 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.

Kenntnisse

Python

Statistics

Machine Learning

Data analysis

Data modeling

Experimentation

Analytical reasoning

Written communication

English proficiency

Tools

Pandas

Jobbeschreibung

We are seeking Data Scientists and Quantitative Professionals with experience at leading organizations to support an AI research project. You’ll evaluate AI model performance across statistics, machine learning, experimentation, and quantitative reasoning to help improve model accuracy and analytical capabilities.

Key Responsibilities

• Evaluate AI-generated outputs involving data science, statistics, machine learning, 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.

Required Qualifications

• At least 1 year of experience at a leading company in technology, finance, research, or a related field, with some experience within the past 3 years.
• Strong understanding of Python, statistics, machine learning, and data analysis.
• Experience with Pandas, data modeling, and experimentation.
• Strong analytical and quantitative reasoning skills.
• Ability to communicate technical and statistical concepts clearly in writing.
• Based in an English-speaking country.

Preferred Qualifications

• Experience evaluating statistical models, machine learning outputs, or quantitative methods.
• Strong knowledge of experimental design, data interpretation, and methodological validation.
• Ability to develop rigorous datasets and reference solutions for complex analytical problems.

Compensation

• $150–$200/hour.
• Fully remote work.