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. Applicant pay shown: Up to $110/hour.
- Platform
- SME Careers
- Fit category
- Software engineering
- Remote/location
- Remote — The United States
- Pay
- Advertised ceiling: Up to $110/hour
- Eligibility
- Remote, U.S. eligibility signal
- Difficulty
- Highly selective
- Last reviewed
- Jul 19, 2026
Current application
Check the current SME Careers listing
Apply on SME CareersReview 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 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.
Requirements
- Bachelor’s, Master’s, or PhD degree in Data Science, Statistics, Computer Science, Machine Learning, Mathematics, Economics, Engineering, or a closely related quantitative field.
- Strong grasp of English to follow guidelines, communicate with teams, and provide clear technical feedback.
- 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.
Best for
- People with credible software or technical expertise
- Applicants comfortable with role-specific screening for Data Scientist Team Lead
Skip this if...
- You need guaranteed placement, hours, or continuous project work
- You cannot meet the current country or identity-verification requirements
Application tips
- Prepare concise evidence that matches the Data Scientist Team Lead requirements.
- 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.