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Programmer analyst • antioch ca

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Econometric Data Analyst (Stata SE).AI labs train foundational models and enterprises build AI agents.We provide frontier evaluations and reinforcement learning environments used to improve LLM cap...[internal_linking.show_more]

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Remote Econometric Data Analyst (Stata SE)

Micro1Antioch, California, US
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[job_card.full_time]

Econometric Data Analyst (Stata SE).AI labs train foundational models and enterprises build AI agents.We provide frontier evaluations and reinforcement learning environments used to improve LLM cap...[internal_linking.show_more]

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Remote Econometric Data Analyst (Stata SE)

Remote Econometric Data Analyst (Stata SE)

Micro1Clayton, California, US
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Econometric Data Analyst (Stata SE)

$35 - $100/hourpay

Required Skills

Stata SE
About micro1
micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.
Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI.

Job Description

Job Title: Econometric Data Analyst (Stata SE)


Job Type: Contract


Location: Remote


Job Summary


Join our customer's team as an Econometric Data Analyst (Stata SE), where you will leverage your expertise in advanced econometric modeling and Stata SE to deliver impactful, reproducible research solutions. You will tackle complex datasets, optimize workflows, and translate data-driven insights for academic and policy-driven environments. This is a unique opportunity for a Stata SE expert to contribute to high-impact projects from a fully remote setting.


Key Responsibilities


  1. Design and implement advanced econometric models using Stata SE, with a focus on panel data and causal inference techniques.
  2. Develop, maintain, and optimize do-files for efficient data management, analysis automation, and reproducible workflows.
  3. Conduct rigorous data cleaning, transformation, and validation of large-scale datasets to ensure accuracy and reliability.
  4. Deliver clear, actionable insights through well-documented code, technical reports, and presentations tailored for academic and policy stakeholders.
  5. Collaborate closely with our customer's team to understand project objectives, communicate findings, and iterate on analysis as needed.
  6. Stay updated on best practices in econometric research and Stata SE functionalities, proactively sharing knowledge with peers.
  7. Ensure that all research outputs meet high standards of reproducibility, transparency, and ethical data handling.



Required Skills and Qualifications


  1. Expert proficiency in Stata SE with demonstrated experience in econometric modeling and automation via do-files.
  2. Advanced understanding of panel data analysis, causal inference methods, and large dataset optimization techniques.
  3. Strong skills in data cleaning, preparation, and validation for complex statistical analysis.
  4. Exceptional written and verbal communication skills, with a keen attention to clarity and detail.
  5. Proven ability to document processes and present findings to diverse audiences in academic or policy contexts.
  6. Experience in producing reproducible research outputs and ensuring high standards of analytic integrity.
  7. Self-motivated, organized, and capable of thriving in a fully remote environment.



Preferred Qualifications


  1. Advanced degree (Master’s or PhD) in Economics, Statistics, Data Science, or a related field.
  2. Prior experience collaborating on projects for academic or policy-focused institutions.
  3. Familiarity with complementary statistical tools or programming languages (e.g., R, Python) is a plus.