Job Description

Job Description

Senior Data Science Specialist

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Position: Senior Data Science Specialist

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Type: Hourly Contract (Part-Time)

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Compensation: $50–$70/hour

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Location: Remote

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About the Opportunity

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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.

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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.

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

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Responsibilities

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

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

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

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• Competitive compensation of $50–$70/hour.
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• Weekly payments.
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• Independent contractor engagement.
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Application Process

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1. Easy Apply on LinkedIn
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2. Check Email for Next Steps
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3. Participate in Resume Evaluation & Interview Stage
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Job Tags

Hourly pay, Weekly pay, Contract work, Part time, For contractors

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