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 a Data Scientist 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.
For more info, here's our hiring video: Open here!
Responsibilities:
- Sourcing, processing, analyzing, and interpreting large & complex datasets within our growing forecast offering.
- Developing our power market and dispatch models to grow and enhance Modo’s product offering. We use Python and the standard scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.).
- Working closely with our product and analytics functions to ensure the product we deliver aligns closely with user needs and provides value to the wider Modo team.
Qualifications:
- 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.).
- A degree in a quantitative field such as mathematics, engineering, computer science, physics or a related discipline.
- Strong quantitative skills and a proven track record of solving complex technical problems using data analysis, machine learning, and optimization techniques.
- Hands-on experience with cloud environments (e.g., AWS) for deploying data science models.
- Proven experience with optimisation using linear programming with a preference for Python-based implementations.
- Proven ability to produce data science models and insights that are directly delivered to external customers, with a track record of handling high-visibility, customer-facing outputs.
- Previous experience in energy modeling, with a specific focus on the Australian power systems.
- Excellent technical communication skills, with the ability to explain complex data science concepts to non-technical stakeholders.
- A self-starter attitude, with an eagerness to dive headfirst into problems and pick things up quickly.
Important Details:
- We work in a Hybrid Environment: You split your time between working from home and working in our Sydney office (Tuesday through Thursday).
Modo Energy is an equal-opportunity employer. Our employment decisions are made on the basis of qualifications, merit, and business need. We do not discriminate against age, national origin, physical or mental disability, race, religion, pregnancy, sexual orientation, gender identity, veteran status, or any other characteristic protected by federal, state, or local law. If you need assistance or a reasonable accommodation with an application or the interview process please contact us via email at careers@modo.energy.
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!
