Data Science Associate

About Us: Good Energy Collective — Elevating Voices for a Sustainable Future 

Good Energy Collective is on a mission to advance clean energy while stewarding a socially responsible energy transition. We're looking for a skilled Data Science Associate who can transform complex energy data into meaningful insights that drive policy innovation and support our work in advancing nuclear energy as an essential part of the broader climate change agenda. 

The Opportunity: Data Science Associate 

As a Data Science Associate, you'll play an important role in strengthening our research foundation by applying advanced data science techniques and quantitative analysis to energy system analysis. Reporting to the Director of Research and Policy, you'll focus on building energy systems models, conducting detailed analysis of existing power sectors, supply chains, and generating insights about nuclear energy's role in clean energy transitions. Your work will involve contributing to and analyzing power systems models, analyzing grid integration scenarios, and conducting quantitative assessments of nuclear deployment pathways. You'll also apply machine learning techniques, including natural language processing and AI models, to identify emerging trends in energy policy discourse, analyze stakeholder sentiment, and extract insights from large text-based datasets related to nuclear energy and public perception. This role is ideally suited for someone with 5+ years of work experience with a mix of energy systems modeling, applied machine learning, or quantitative research in fields such as engineering, energy economics, or related disciplines. 

What You'll Do: Your Impact and Influence 

Core Responsibilities 

• Computational Modeling: Build and maintain sophisticated models that analyze electricity grid operations, focusing on nuclear energy integration, reliability metrics, affordability, and environmental impacts. 

• Advanced Analytics & AI Applications: Apply machine learning techniques and work with large language models (LLMs) to analyze energy policy discourse, public sentiment toward nuclear energy, and extract insights from unstructured data sources. 

• Research Support: Design and execute quantitative research methodologies to support our policy agenda, including scenario modeling for nuclear deployment, fuel cycle analysis, and climate impact assessments. 

• Visualization & Communication: Create compelling visual representations of data findings that effectively communicate technical information to non-technical audiences, policymakers, and stakeholders. 

• Cross-Team Collaboration: Work closely with policy researchers and communications teams to ensure data analysis directly supports our policy objectives and public engagement. 

• Project Management: Support research project management, including timeline development, methodology design, and coordination with external research partners. 

• Data Management & Tool Development: Develop and maintain databases related to nuclear energy deployment, grid performance, and environmental impacts and support the development of open-source tools that enable broader access to energy data and analysis. 

• Continuous Improvement: Stay informed on emerging methodologies in data science and their applications to clean energy policy; contribute to best practices for data management, analysis, and visualization across the organization. 

Who You Are: Qualifications and Skills 

Essential Qualifications 

• Location requirement: Must reside within one hour of Mexico City via ground transportation. Other candidates will not be considered. 

• Educational Background: Master's degree in data science, statistics, economics, power systems engineering, or related quantitative field. We will consider applicants without master’s degrees who make a compelling case that they have comparable skills.  

• Experience: 5+ years of professional experience, demonstrating progressive responsibility for data science, quantitative analysis, energy-related research. 

• Technical Skills: 

• Proficiency in Python, R, or similar programming languages 

• Experience with statistical analysis methods 

• Experience implementing machine learning algorithms; experience working with natural language processing techniques preferred but not required 

• Ability to work with and analyze large, complex datasets from diverse sources 

• Experience with data visualization tools to communicate findings effectively 

• Energy System Modeling: Experience working with one or more of the following: capacity expansion models, integrated assessment models (IAMs), economic forecasting models, or related quantitative models. 

• Energy Knowledge: Basic understanding of energy systems, electricity markets, and clean energy technologies. 

• Research Capability: Demonstrated experience designing and executing complex research projects, including methodology development and quality assurance. 

• Project Management: Experience leading technical projects, coordinating timelines, and collaborating with external partners. 

• Communication & Collaboration: Strong ability to translate complex technical findings into clear insights for diverse audiences; experience collaborating across disciplines. 

Preferred Qualifications 

• Advanced proficiency in building production-quality code 

• Experience developing and optimizing data pipelines, database structures, and ETL processes 

• High proficiency in building and customizing energy system models 

• Experience with specialized capacity expansion and power systems modeling tools such as IEA-Times, PLEXOS, PROMOD, or similar platforms 

• Experience applying modeling techniques to challenges such as grid integration, fuel cycle analysis, or deployment scenarios 

• In-depth knowledge of nuclear energy systems, fuel cycle analysis, or grid integration challenges for advanced nuclear technologies 

• Experience with geospatial analysis tools and applications to energy system planning 

• Experience applying machine learning to energy forecasting, grid optimization, or public sentiment analysis 

• Published research or technical reports on energy systems, climate policy, or related fields 

• Experience working with or within policy research organizations, think tanks, or advocacy groups 

Approach to Compensation | Fairness Over Negotiation We get it; the topic of salary often turns into a negotiation game. But here at Good Energy Collective, we're taking a different approach—one rooted in fairness and internal equity. For the Data Science Associate role, offers are set at 95% of the midpoint of GEC’s salary range, or $665,000 MXN. The starting salary is nonnegotiable. 

The Data Science Associate salary range is $650,000 - $750,000 MXN, with a midpoint of $700,000 MXN. Our salary bands are intentionally wide to provide ample room for growth without requiring a change in title. It's our way of saying, "We value your growth right where you are, and we want to reward you for it." We recognize that negotiation often favors certain demographic groups, and we're committed to leveling the playing field. We want every candidate from every background to know they're being valued fairly for their skills and potential.