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

Synthires

California

Remote

USD 207.000 - 276.000

Vollzeit

vor 37 Stunden
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Zusammenfassung

Synthires is seeking Data Scientists and Quantitative Professionals to support an AI research project. You will evaluate model performance, work with statistics, ML, and data analysis, and help improve accuracy and analytical capabilities.

Fully remote in an English-speaking country, with about 100 openings. Compensation is $150-$200 per hour, with flexible scheduling and opportunities to work on challenging data-driven problems.

Qualifikationen

  • 1 year of experience at a leading company in tech/finance/research.
  • Strong understanding of Python, statistics, ML, and data analysis.
  • Experience with Pandas, data modeling, and experimentation.
  • Strong analytical and quantitative reasoning skills.
  • Ability to communicate technical concepts in writing.

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

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.
  • Approximately 100 openings available.
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