Data Science Specialist

micro1 is engaging Data Science Specialists to contribute to a customer's project focused on elevating the quality and impact of business presentations and analytical reporting. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work

• Reconstruct, redesign, and enhance data-driven presentations using Microsoft PowerPoint to ensure clarity and visual consistency.
• Create compelling visualizations that transform complex data into insights, supporting effective visual storytelling across various audiences.
• Edit content for accuracy, flow, and narrative impact while maintaining high standards of written communication.
• Apply advanced data analysis and statistical reasoning to interpret datasets and derive actionable conclusions for presentation materials.
• Develop analytics reports that summarize key findings, trends, and recommendations with precision and attention to detail.
• Critically review and refine existing slides and reports to align with best practices in data visualization and design.
• Collaborate on feedback cycles to iteratively improve deliverables based on project-specific requirements.

Preferred Qualifications

• Expert-level proficiency in Microsoft PowerPoint, with a strong portfolio demonstrating slide reconstruction and advanced presentation design.
• Proven ability to distill and visualize complex datasets into accessible, business-oriented insights.
• Experience with content editing, data storytelling, and producing analytics reports for diverse stakeholders.
• Keen critical thinking skills and exceptional attention to detail in both quantitative and qualitative tasks.
• Strong written communication abilities, with a track record of crafting clear, concise, and engaging narratives.
• Background in data science, analytics, statistics, or a related field; prior consulting experience is a plus.
• Comfort participating in remote, collaborative projects with dynamic requirements and iterative feedback.