Data Scientist

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.).
• 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.
• Nice to have: 
  • A degree in a quantitative field such as mathematics, engineering, computer science, physics or a related discipline.

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 [email protected].