Data Scientist (Remote)
Posted Today by Keystone Recruitment
Negotiable
Undetermined
Remote
EMEA
Summary: The Data Science Specialist role is a fully remote position focused on enhancing AI model capabilities through dataset analysis and statistical modeling. Candidates should possess over three years of experience in data science and machine learning, applying their expertise to research initiatives. The role emphasizes flexibility and self-managed scheduling while contributing to cutting-edge AI research. Strong proficiency in Python and experience with large-scale data environments are essential for success in this position.
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
Key Skills:
- 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
Salary (Rate): undetermined
City: undetermined
Country: EMEA
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Role: Data Science Specialist (Remote)
Location: 100% Remote (Global)
Compensation: USD 50-90 per hour
Experienced data scientists support AI model improvement through dataset analysis, statistical modeling, and performance evaluation. This flexible remote contract applies 3+ years of analytical expertise to 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.