Energy Statistician

At Modo Energy, we're on a mission to build the information architecture for the energy transition - we want to be the only place to come to for information on the global journey to net zero. Take a look at our platform, where we provide open access to an array of content on the energy transition.

We're a dedicated and passionate team building a category-defining business, working on one of the world's most important priorities. We are looking for individuals who love product-building, want to work with pace at a mission-oriented startup, and will collaborate with us in shaping the culture of a rapidly growing team.

The role

As an Energy Statistician at Modo Energy, you will join an established team that loves to use their knowledge and expertise to build novel, industry-leading models and analyses. We follow our core principles to produce tools used by organizations across the energy transition to finance, build, benchmark, and operate battery energy storage systems. This role sits within our data science team, building trustworthy revenue projections across multiple geographies.

Responsibilities

• Develop mathematical or statistical models to analyze and interpret data;

• Build novel and industry-leading models and analyses;

• Produce tools used by organizations across the energy transition to finance, build, benchmark, and operate battery energy storage systems;

• Using statistical techniques, source, process, analyze, and interpret large and complex datasets within our growing forecast offering;

• Develop our power market and dispatch models to grow and enhance Modo’s product offering, using Python and optimization toolsets;

• Apply statistical methods to solve practical problems in the business, determining what data are needed to answer specific questions or problems;

• Work closely with our product function to ensure the product we deliver aligns closely with user needs and provides value to the wider Modo team;

• Stay up to date with the latest market regulations and their impact on the broader energy landscape;

• Use statistical software to analyze data and create visualizations to aid decision making in business; and

• Interpret data and communicate analyses to technical and nontechnical audiences.

Qualifications

• Master’s degree in Engineering, Computer Science, Mathematics, or a related quantitative field

• Plus one year of full-time experience in occupations involving data analysis, statistical analysis, engineering, energy consulting or related occupations

Special Requirements

Experience to include 1 year in each of the following:

• Use of Python and R for data analysis;

• Use of the scientific computing stack for data analysis, data science, and machine learning: Numpy, Pandas, SciPy, and ScikitLearn;

• Use of optimization methodologies and linear programming, including building and refining mathematical models for decision-making in the energy sector;

• Development of production-cost models and capacity expansion models for energy market projections, and cost-benefit analyses for energy projects using modeling software: PLEXOS, Uplan, or ProMod;

• Financial modeling and analysis for energy projects; and

• Preparation of technical reports and presentations using data visualization tools including Power BI and Excel.

Important Details

• Location: New York, NY (Hybrid – Tuesday through Thursday in-office)

• Salary Range: $105,000 – $185,000 USD per year

• Benefits: 25 days annual leave, medical, dental and vision insurance, 401k with matching, disability and life insurance, and parental leave

What you can expect from Modo

We want to attract and retain the best talent at Modo, and we give our people the freedom and opportunity to develop themselves and flourish.

We are committed to building a diverse and inclusive team at Modo, as we believe a variety of backgrounds, skills and interests is what makes our company stronger. If you share our values and our enthusiasm for supporting the transition to greener energy systems, we encourage you to apply. We have a number of positions open which could be for a range of backgrounds and experience levels. Please get in touch if you are interested and you don’t meet all the requirements, or if you exceed them!