Back to jobs

Data Scientist (Stata) | Remote

Crossing Hurdles
United States
Contract
2,000 – 10,000 / year
AI tools:
ChatGPT
Applications go directly to the hiring team

Full 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

Applications go to the hiring team directly