Data Science Specialist

$150–350/hr

rate as listed

Workload: ~15h/week
Engagement: Project-based
Location: US, GB, CA
Field: STEM and Coding

Review, reconstruct and improve data-driven PowerPoint presentations and analytics reports for executive audiences. The work combines statistical reasoning, data visualization, content editing and iterative remote review.

The work

This remote contractor role focuses on rebuilding and refining data-driven presentations in Microsoft PowerPoint. Day-to-day work may include checking analytical conclusions, selecting clearer visualizations, improving slide consistency, editing narrative flow and turning findings into concise recommendations for business audiences.

What screening is likely to cover

Expect detailed questions about presentations or reports you have personally produced, including the source data, analytical methods, visualization choices and intended audience. The platform may also test how you identify misleading charts, unsupported conclusions, inconsistent metrics or slides that are technically correct but ineffective for executive decision-making. Prior AI experience is not required.

Logistics

The role is remote and limited to candidates in the US, UK or CAN. The listing describes collaborative feedback cycles and dynamic requirements, but it does not state typical weekly hours, fixed overlap hours or whether work is primarily asynchronous.

Pay band: $150–350/hr

What they look for

Microsoft PowerPoint
Slide Reconstruction
Presentation Design
Data Visualization
Visual Storytelling
Content Editing
Critical Thinking
Attenton to Detail
Written Communication
Statistical Reasoning
Data Analysis
Analytics Reporting

Included with this listing

Interview prep — 10 questions

Matched to what this platform's screening actually measures. Answer each out loud in 60–90 seconds: claim → concrete example → implication.

What it tests: This tests whether you can verify direct ownership of the analysis, presentation decisions and final recommendations rather than describing a team deliverable in general terms.
A strong answer: Identify the audience, business question, dataset, analytical approach and specific sections you owned. Explain what recommendation the work supported and how stakeholders used it.
Where people lose it: Candidates lose points by discussing an attractive deck without explaining the underlying analysis, their individual contribution or the decision the presentation was meant to inform.

Summary, eligibility guidance and screening preparation are prepared by Sidequest from the platform's posting. Check the source listing before applying.

STEM AND CODING on Sidequest

What stem and coding AI work pays

Rates by specialty, the platforms hiring, and every open role in this field.