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

Synthires; San Francisco (CA); A distancia; USD 207.000 - 276.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Fully remote

Competitive hourly rate

100 openings

Descripción de la vacante

Synthires is seeking Data Scientists and Quantitative Professionals for a fully remote role. You will evaluate AI model performance, craft prompts and datasets, and identify statistical weaknesses.

The position favors candidates with Python, statistics, ML, and data analysis expertise, and who are based in an English-speaking country. Responsibilities include assessing methodologies, data modeling, and experimentation approaches to improve model accuracy and analytical capabilities.

Formación

• 1 year of experience at a leading tech, finance, or research firm (within last 3 years).
• Strong knowledge of Python, statistics, ML, and data analysis.
• Experience with Pandas, data modeling, and experimentation.
• Strong analytical and quantitative reasoning.
• Ability to communicate statistical concepts in writing.
• Based in an English-speaking country.

Responsabilidades

• Evaluate AI outputs across data science, statistics, ML, and quantitative problems.
• Create prompts, datasets, and reference solutions.
• Identify flawed methodologies and statistical errors.
• Assess data analysis, experimentation and modeling approaches.

Conocimientos

Python

Statistics

Machine learning

Data analysis

Herramientas

Pandas

Data modeling

Experimentation

Descripción del empleo

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.
• Approximately 100 openings available.