R Team Lead
R Team Lead is a remote contract SME Careers opportunity focused on spot-check R programming and data-analysis items.
- Pay
- Advertised ceiling: Up to $65/hour
- Location
- Remote — The United States
- Eligibility
- Remote; check the U.S. location wording
- Qualification difficulty
- Selective
How current is this information?
The public role and application path were checked. Details can still change; this is not an endorsement or guarantee.
- Platform
- SME Careers
- Fit category
- General professional
- Listing/source checked
- Aug 31, 2026
- Apply link checked
- Jul 19, 2026
Application
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What this role involves
R Team Lead is a remote contract SME Careers opportunity focused on spot-check R programming and data-analysis items. The public role asks for bachelor’s or Master’s degree in Statistics, Data Science, Mathematics, Computer Science, Economics, Biology, Social Sciences, or related quantitative field. Public responsibilities include spot-check R programming and data-analysis items.
Before you apply
Review the main fit signals and unresolved details before opening the platform.
Why it may fit
- People with credible general professional expertise
- Applicants comfortable with role-specific screening for R Team Lead
Check before applying
Reasons to pause
- You need guaranteed placement, hours, or continuous project work
- You cannot meet the current country or identity-verification requirements
Still to verify
- Review the current SME Careers public job details before applying. Country eligibility, AI interview steps, Deel or identity onboarding, pay, and project availability can vary by role and can change.
What to prepare
- Bachelor’s or Master’s degree in Statistics, Data Science, Mathematics, Computer Science, Economics, Biology, Social Sciences, or related quantitative field.
Role tools
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Requirements
- 3+ years of experience using R for data analysis, statistics, research, analytics, teaching, coding, or technical review.
- Strong understanding of R syntax, data frames, vectors, functions, lists, factors, missing data, tidyverse, base R, statistical modeling, and visualization.
- Ability to identify issues such as incorrect statistical assumptions, invalid package usage, non-reproducible code, data leakage, flawed transformations, hallucinated functions, or misleading charts.
Application tips
- Expect role-specific screening; SME Careers documentation says AI may support the interview assessment while people make final decisions.
- Confirm current country eligibility, applicant pay, Deel or identity onboarding, and project availability before accepting work.