5 days ago

Data Science Specialist

Quik Hire Staffing

Hybrid
Contractor
$145,600
Hybrid

Job Overview

Job TitleData Science Specialist
Job TypeContractor
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$145,600
LocationHybrid

Who's the hiring manager?

Sign up to PitchMeAI to discover the hiring manager's details for this job. We will also write them an intro email for you.

Uncover Hiring Manager

Job Description

Data Science Specialist (Remote)

Quik Hire Staffing is seeking an experienced Data Science Specialist to support AI model improvement through in-depth dataset analysis, advanced statistical modeling, and rigorous performance evaluation. This is a flexible, 100% remote contract position, applying 3+ years of analytical expertise to cutting-edge research initiatives aimed at enhancing intelligent system capabilities. Compensation is USD 50-90 per hour.

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 data quality reviews on model outputs.
  • Build reusable tools for data processing, visualization, and standardized reporting.

Essential Qualifications

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

Project Benefits

  • Fully remote with self-managed scheduling (10+ hours/week commitment).
  • Exposure to cutting-edge AI research and experimentation.
  • Competitive hourly rates reflecting expertise level.
  • Weekly international payments with no client data confidentiality requirements.

Ideal Background

  • Data scientists with production ML experience.
  • Analysts skilled in experimental design and A/B testing.
  • Professionals comfortable with large-scale data processing pipelines.
  • Technical team collaborators with clear written communication.

Equal Opportunity

All qualified data science professionals are considered regardless of protected characteristics. Selection is based purely on technical expertise and analytical capabilities.

Key skills/competency

  • Data Analysis
  • Statistical Modeling
  • Machine Learning
  • AI Model Improvement
  • Python Programming
  • Pandas
  • NumPy
  • Scikit-learn
  • Experimental Design
  • Data Visualization

Tags:

Data Science Specialist
Data Analysis
Statistical Modeling
Machine Learning
AI Model Improvement
Performance Evaluation
Experimental Design
Data Processing
Data Visualization
Reporting
Python
Pandas
NumPy
Scikit-learn
Large-scale Data
Version Control
Analytical Roles
Model Validation
Production ML
A/B Testing

Share Job:

How to Get Hired at Quik Hire Staffing

  • Research Quik Hire Staffing's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand their staffing approach.
  • Tailor your resume for data science: Customize your resume to highlight your 3+ years of experience in data science, machine learning, and specific Python library proficiencies (pandas, NumPy, scikit-learn) relevant to a Data Science Specialist role.
  • Showcase analytical expertise: Prepare a portfolio or project examples demonstrating your advanced statistical analysis, experimental design, and model validation skills, crucial for AI model improvement at Quik Hire Staffing.
  • Prepare for technical interviews: Be ready to discuss your experience with large-scale data environments, version control workflows, and how you've built reusable tools for data processing and reporting, specifically for Data Science Specialist roles.
  • Emphasize remote work collaboration: Since this is a remote role, highlight your communication skills and ability to collaborate effectively in a distributed team environment.

Frequently Asked Questions

Find answers to common questions about this job opportunity

Explore similar opportunities that match your background