Bachelor's degree or equivalent practical experience.
2 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
Experience with data analysis (e.g., SQL, Python).
Experience in designing sampling approaches and using statistical analysis for making product recommendations.
Preferred qualifications:
Experience in tuning and applying Large Language Models for data labeling.
Experience with driving data labeling quality improvements.
Experience working on product policy analysis and identifying policy risks.
Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
Excellent written and verbal communication skills.