Research analyst

We are seeking a highly motivated Research Analyst to join our team as a contractor, with the potential to transition into a full-time role pending performance and funding availability. This role is ideal for candidates who are passionate about energy markets, have a strong analytical mindset, are data-savvy, and are proficient in Python programming.

As a Research Analyst, you will be responsible for collecting, cleaning, and synthesizing data from a range of public and proprietary sources. You will analyze complex datasets to extract actionable insights, support forecasting efforts, and contribute to the development of cutting-edge agent-based models that inform business and policy decisions.

You will be joining Macrocosm, an early stage startup that is using complexity economics to revolutionize economic modeling. Our purpose is simple: better economics for a better world.

We are building the world's only empirically validated digital twin of the global economy, and our initial focus is on the energy system. You will be helping to create an energy investment simulator that predicts energy supply, prices, and firms' profits. This decision platform will be used to help guide investments in the energy transition.

This role is a full-time contractor role and we will pay a competitive hourly rate that is commensurate with experience.

Key Responsibilities:

• Collect, clean, and manage data from diverse sources, including both public and internal datasets.

• Conduct exploratory data analysis and interpret results to identify patterns, trends, and insights.

• Build and maintain statistical models to support forecasting and scenario analysis.

• Present findings in a clear and compelling way using visualizations and written reports.

• Collaborate with internal teams on research initiatives and contribute to ongoing product development.

Required Qualifications:

• Bachelor’s degree (BA/BS or equivalent) in a quantitative program like Data Science, Engineering, Mathematics, Physics, Economics, or a related field.

• Proficiency in Python for data analysis and modeling (e.g., pandas, NumPy, matplotlib, scikit-learn).

• Familiarity with forecasting, regression analysis, or econometric modeling

• Strong analytical, quantitative, and critical thinking skills.

• Ability to work independently, manage time effectively, and meet project deadlines.

Preferred Qualifications:

• Prior experience analyzing or modeling energy markets (e.g., electricity, natural gas, oil).

• Preference for candidates who reside and are authorized to work in the United States.

• Experience in data analysis and visualization

• Experience in complexity economics or agent-based modeling