Data Science Specialist

Data Science Specialist

As a Data Science Specialist, you will play a crucial role in enhancing AI models by applying your expertise in dataset analysis, statistical modeling, and performance evaluation. This is a fully remote contract position, offering flexibility and the opportunity to contribute to cutting-edge AI research.

You will leverage your 3+ years of analytical experience to inform AI model design, refine existing systems, and ensure high data quality and performance. This role is ideal for experienced data scientists comfortable with self-managed scheduling and keen to work on impactful research initiatives.

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 are considered regardless of protected characteristics. Selection is based purely on technical expertise and analytical capabilities.

Key skills/competency

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