Data Analyst (Remote | $50–$70/hr)

Synthires; United States; On-site; USD 69,000 - 96,000; Full time

Benefits offered by this job

Weekly payments

Competitive hourly rate

Job summary

Synthires is seeking a Senior Data Science Specialist in the United States to contribute to advanced AI research and evaluation projects. You will assess AI-generated data science outputs, review statistical methods, and apply real-world expertise to improve model performance.

No prior AI experience is required; your data science expertise, analytical skills, and professional experience are the driving qualifications for success in this role.

Qualifications

• 2+ years of professional data science experience or equivalent industry/research experience.
• Strong experience with data analysis, statistical modeling, machine learning, predictive modeling, and data visualization.
• Proficiency in Python, SQL, and common data science libraries and frameworks.
• Strong understanding of statistics, probability, machine learning algorithms, model evaluation, and experimental design.
• Experience working with real-world datasets and translating data into actionable insights.
• Ability to evaluate AI-generated analyses, models, and technical solutions for correctness and effectiveness.
• Excellent analytical, problem-solving, and written communication skills.

Responsibilities

• Evaluate AI-generated data science solutions, statistical analyses, and machine learning outputs for accuracy and quality.
• Solve complex data analysis, statistical modeling, machine learning, and predictive analytics problems.
• Review AI-generated approaches involving data preprocessing, feature engineering, model development, validation, and evaluation.
• Analyze datasets, statistical methodologies, predictive models, and analytical workflows.
• Identify errors, inconsistencies, methodological issues, and edge cases in AI-generated analyses.
• Compare multiple AI-generated solutions and assess their technical strengths, weaknesses, and reasoning quality.
• Provide structured technical feedback to improve AI accuracy, analytical reasoning, and model performance.
• Collaborate with technical reviewers and interdisciplinary teams to maintain consistent evaluation standards and data quality.

Skills

Data analysis

Statistical modeling

Machine learning

Predictive modeling

Data visualization

Python

SQL

Statistics

Experimental design

AI evaluation

Tools

PyTorch

TensorFlow

scikit-learn

XGBoost

Job description

This opportunity is for experienced Senior Data Science Specialists interested in contributing to advanced AI research and evaluation projects focused on improving the accuracy, reasoning, and analytical capabilities of next-generation AI systems.

The role involves evaluating AI-generated data science solutions, assessing statistical and machine learning methodologies, and applying real-world data science expertise to improve the performance of advanced AI models.

No prior AI experience is required. Your data science expertise, analytical skills, and professional experience are the primary qualifications for success in this role.

Responsibilities

• Evaluate AI-generated data science solutions, statistical analyses, and machine learning outputs for accuracy and quality.
• Solve complex data analysis, statistical modeling, machine learning, and predictive analytics problems.
• Review AI-generated approaches involving data preprocessing, feature engineering, model development, validation, and evaluation.
• Analyze datasets, statistical methodologies, predictive models, and analytical workflows.
• Identify errors, inconsistencies, methodological issues, and edge cases in AI-generated analyses.
• Compare multiple AI-generated solutions and assess their technical strengths, weaknesses, and reasoning quality.
• Provide structured technical feedback to improve AI accuracy, analytical reasoning, and model performance.
• Collaborate with technical reviewers and interdisciplinary teams to maintain consistent evaluation standards and data quality.

Required Qualifications

• 2+ years of professional Data Science experience or equivalent industry/research experience.
• Strong experience with data analysis, statistical modeling, machine learning, predictive modeling, and data visualization.
• Proficiency in Python, SQL, and common data science libraries and frameworks.
• Strong understanding of statistics, probability, machine learning algorithms, model evaluation, and experimental design.
• Experience working with real-world datasets and translating data into actionable insights.
• Ability to evaluate AI-generated analyses, models, and technical solutions for correctness and effectiveness.
• Excellent analytical, problem-solving, and written communication skills.

Preferred Qualifications

• Experience working with large-scale datasets, advanced machine learning systems, or production data science workflows.
• Experience with PyTorch, TensorFlow, scikit-learn, XGBoost, or similar machine learning frameworks.
• Familiarity with AI, generative AI, LLMs, AI model evaluation, or data annotation.
• Experience with A/B testing, experimentation, causal inference, time-series analysis, or advanced statistical methods.
• Familiarity with cloud platforms, distributed computing, MLOps, or data engineering workflows.
• Prior experience with AI evaluation, technical review, or model quality assessment projects.

Compensation

• Competitive compensation of $50–$70/hour.
• Weekly payments.