Data Scientist (Stata) | Remote

Role Overview

Econometric Data Analyst (Stata SE) (Data Scientist) — Remote

• Commitment: 10–40 hours/week
• Compensation: $20–$100/hour

Responsibilities

• Design and implement advanced econometric models in Stata SE, focusing on panel data and causal inference techniques.
• Develop, maintain, and optimize do-files for efficient data management, analysis automation, and reproducible workflows.
• Perform rigorous data cleaning, transformation, and validation for large-scale datasets.
• Produce clear, actionable outputs via well-documented code, technical reports, and presentations for academic and policy stakeholders.
• Collaborate with the customer team to understand objectives, communicate findings, and iterate based on feedback.
• Stay current with best practices in econometric research and Stata SE functionality; share knowledge with peers.
• Ensure outputs meet standards for reproducibility, transparency, and ethical data handling.

Requirements

• Expert proficiency in Stata SE with experience in econometric modeling and automation using do-files.
• Strong knowledge of panel data analysis, causal inference methods, and optimization for large datasets.
• Advanced skills in data cleaning/preparation/validation for complex statistical analysis.
• Exceptional written and verbal communication with attention to clarity and detail.
• Proven ability to document processes and present findings to diverse academic/policy audiences.
• Experience producing reproducible research outputs while maintaining analytic integrity.
• Self-motivated and organized, able to thrive in a fully remote environment.
• Advanced degree in Economics, Statistics, Data Science, or related field.
• Prior experience collaborating with academic or policy-focused institutions.

Nice to Have

• Familiarity with complementary tools/languages such as R or Python.