AI Research Data Scientist - Remote & Metrics Focus

Synthires; United States; Remoto; AUD 207.000 - 276.000; Tempo pieno

Vantaggi offerti da questo lavoro

Fully remote work

Descrizione del lavoro

Synthires is seeking Data Scientists and Quantitative Professionals to support an AI research project. You will evaluate model performance across statistics, machine learning, experimentation, and quantitative reasoning to improve accuracy and analytics capabilities.

Responsibilities include designing prompts, datasets, reference solutions, and identifying methodological weaknesses. Applicants should have 1+ year experience, strong Python and data analysis skills, and be based in an

Competenze

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

Mansioni

• 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.

Conoscenze

Python

Statistics

Machine learning

Data analysis

Experimentation

Communication

Quantitative reasoning

Strumenti

Pandas

Descrizione del lavoro

Synthires is seeking Data Scientists and Quantitative Professionals to support an AI research project. You will evaluate model performance across statistics, machine learning, experimentation, and quantitative reasoning to improve accuracy and analytics capabilities.

Responsibilities include designing prompts, datasets, reference solutions, and identifying methodological weaknesses. Applicants should have 1+ year experience, strong Python and data analysis skills, and be based in an