Data Science Specialist

Role Overview

Quik Hire Staffing is seeking an experienced Data Science Specialist to support AI model improvement through in-depth dataset analysis, robust statistical modeling, and precise performance evaluation. This is a flexible, 100% remote contract position, requiring a minimum 10+ hours/week commitment, where you will apply your 3+ years of analytical expertise to research initiatives aimed at enhancing intelligent system capabilities globally.

Key Responsibilities

• Analyze datasets to extract insights informing AI model design and refinement.
• Develop statistical models, machine learning techniques, and comprehensive evaluation frameworks.
• Conduct performance assessments and thorough data quality reviews on model outputs.
• Build reusable tools for efficient data processing, insightful visualization, and standardized reporting.

Essential Qualifications

• 3+ years experience in data science, machine learning, or similar analytical roles.
• Strong Python proficiency, including expertise with pandas, NumPy, and scikit-learn libraries.
• Experience operating within large-scale data environments and proficient with version control workflows.
• Advanced skills in statistical analysis, experimental design, and rigorous model validation.

Project Benefits

• Fully remote work with self-managed scheduling, requiring a 10+ hours/week commitment.
• Direct exposure to cutting-edge AI research and advanced experimentation.
• Competitive hourly rates that truly reflect your level of expertise.
• Convenient weekly international payments, with no client data confidentiality requirements.

Ideal Background

• Data scientists with hands-on production machine learning experience.
• Analysts skilled in robust experimental design and effective A/B testing methodologies.
• Professionals comfortable with managing and optimizing large-scale data processing pipelines.
• Technical team collaborators possessing clear and concise written communication skills.

Equal Opportunity

All qualified data science professionals are considered regardless of protected characteristics. Selection is based purely on technical expertise and analytical capabilities, ensuring a fair and merit-based process.

Key skills/competency

• Data Science
• AI Model Improvement
• Statistical Modeling
• Machine Learning
• Performance Evaluation
• Python
• Pandas
• NumPy
• Scikit-learn
• Experimental Design