Data Science Specialist

micro1

United States

Remote

GBP 74,000 - 148,000

Full time

14 days+
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Job summary

micro1 seeks a Data Science Specialist to remotely support executive presentations and analytics reporting. You will reconstruct, redesign, and enhance data-driven slides in PowerPoint, ensuring clarity and visual consistency.

You will apply data analysis and storytelling to transform complex datasets into business insights, edit content for accuracy, and collaborate iteratively with project teams across locations.

Qualifications

  • Expert-level PowerPoint design and reconstruction.
  • Ability to distill data into business insights.
  • Experience in data storytelling and analytics reports.

Responsibilities

  • Reconstruct, redesign, and enhance data-driven presentations using PowerPoint to ensure clarity and visual consistency.
  • Create compelling visualizations that transform complex data into insights for storytelling across 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 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.

Skills

PowerPoint expertise
Data visualization
Data storytelling
Written communication
Attention to detail

Education

Background in data science/analytics

Tools

Microsoft PowerPoint

Job description

Role Title: Data Science Specialist - Executive Presentation Review

Role Type: Contractor

Location: Remote (US, UK or CAN)

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.

Originally posted on Himalayas

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