Data Scientist Team Lead
Data Scientist Team Lead is a remote contract SME Careers opportunity focused on quality monitoring: Spot-check data science items, identify quality issues, provide feedback through DMs, and escalate recurring or critical issues.
- Pay
- Advertised ceiling: Up to $110/hour
- Location
- Remote — The United States
- Eligibility
- Remote; check the U.S. location wording
- Qualification difficulty
- Highly 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
- Software engineering
- Listing/source checked
- Aug 12, 2026
- Apply link checked
- Jul 19, 2026
Application
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What this role involves
Data Scientist Team Lead is a remote contract SME Careers opportunity focused on quality monitoring: Spot-check data science items, identify quality issues, provide feedback through DMs, and escalate recurring or critical issues. The public role asks for bachelor’s, Master’s, or PhD degree in Data Science, Statistics, Computer Science, Machine Learning, Mathematics, Economics, Engineering, or a closely related quantitative field.
Public responsibilities include quality monitoring: Spot-check data science items, identify quality issues, provide feedback through DMs, and escalate recurring or critical issues.
Before you apply
Review the main fit signals and unresolved details before opening the platform.
Why it may fit
- People with credible software or technical expertise
- Applicants comfortable with role-specific screening for Data Scientist 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, Master’s, or PhD degree in Data Science, Statistics, Computer Science, Machine Learning, Mathematics, Economics, Engineering, or a closely related quantitative field.
Role tools
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Requirements
- 3+ years of professional experience in data science, analytics, machine learning, statistical modeling, experimentation, data engineering, technical review, or data science education.
- Strong understanding of statistics, probability, data cleaning, exploratory data analysis, feature engineering, supervised/unsupervised learning, model evaluation, experimentation, regression, classification, clustering, and validation methods.
- Ability to evaluate data science content against detailed rubrics and identify issues such as data leakage, flawed assumptions, incorrect metrics, weak methodology, non-reproducible code, hallucinated libraries/APIs, or misleading conclusions.
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.