Data Scientist (Stata) | Remote
Crossing HurdlesFull Description
Position: Econometric Data Analyst (Stata SE)
Type: Analyst
Compensation: $20 - $100/hour
Location: Remote
Commitment: 10–40 hours/week
Role Responsibilities
* Design and implement advanced econometric models using Stata SE, with a focus on panel data and causal inference techniques
* Develop, maintain, and optimize do-files for efficient data management, analysis automation, and reproducible workflows
* Conduct rigorous data cleaning, transformation, and validation of large-scale datasets to ensure accuracy and reliability
* Deliver clear, actionable insights through well-documented code, technical reports, and presentations tailored for academic and policy stakeholders
* Collaborate closely with our customer's team to understand project objectives, communicate findings, and iterate on analysis as needed
* Stay updated on best practices in econometric research and Stata SE functionalities, proactively sharing knowledge with peers
* Ensure that all research outputs meet high standards of reproducibility, transparency, and ethical data handling
Requirements
* Expert proficiency in Stata SE with experience in econometric modeling and automation via do-files
* Advanced understanding of panel data analysis, causal inference methods, and large dataset optimization techniques
* Strong skills in data cleaning, preparation, and validation for complex statistical analysis
* Exceptional written and verbal communication skills with strong attention to clarity and detail
* Proven ability to document processes and present findings to diverse audiences in academic or policy contexts
* Experience producing reproducible research outputs and maintaining analytic integrity
* Self-motivated, organized, and capable of thriving in a fully remote environment
* Advanced degree in Economics, Statistics, Data Science, or a related field
* Prior experience collaborating on projects for academic or policy-focused institutions
* Familiarity with complementary statistical tools or programming languages (e.g., R, Python)
Application Process (Takes 20 Mins)
* Upload resume
* Interview (15 min)
* Submit form