Data Scientist (Remote)
Full Job Description
About the Job
Role: Data Science Specialist (Remote)
Location: 100% Remote (Global)
Compensation: USD 50-90 per hour
Experienced data scientists are sought to improve AI models through dataset analysis, statistical modeling, and performance evaluation. This flexible remote contract utilizes 3+ years of analytical expertise for research initiatives focused on enhancing intelligent system capabilities.
Key Responsibilities:
- Analyze datasets to extract insights informing AI model design and refinement
- Develop statistical models, machine learning techniques, and 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, 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 considered regardless of protected characteristics. Selection based purely on technical expertise and analytical capabilities.
Company
Keystone Recruitment
Keystone Recruitment specializes in connecting organizations with top talent, focusing on long-term placements and cultural alignment. We help build successful companies by identifying and placing ess...