What Makes This Role Great:- Direct, Measurable Impact: Your models directly drive customer savings by maximizing battery and price-responsive load (PRL) performance against market price signals and events.
- Built for Growth: Rodan is building out its central data platform to support a goal of 10x revenue growth in 5 years, centered on energy market optimization across IESO, AESO, PJM, NYISO, MISO, and ERCOT.
- Modern Data Stack: Work in Databricks (notebooks, MLflow and Unity Catalog Model Registry, serverless compute) with real market and meter data.
- Structured Ramp-Up: In your first weeks, youll shadow an external battery optimization build to learn the problem space, provide input, and prepare to take over the project.
Key Responsibilities:- Build and own optimization models for battery and PRL performance, maximizing value against day-ahead and real-time (DA/RT) price signals, demand response events, and coincident peaks
- Take ownership of the battery optimization project following an initial shadowing period with the external build team
- Backtest optimization models against historical market and meter data to validate performance before deployment
- Track experiments and backtest results systematically in MLflow so model iterations are comparable over time
- Partner with forecasting data scientists to integrate their forecasts as inputs to your optimization models
- Partner with Data Engineering on the quality of the data your models depend on
- Support the expansion of battery and PRL optimization from IESO into AESO, PJM, NYISO, MISO, and ERCOT
Required Skills and Qualifications:- Degree in Operations Research, Applied Math, Statistics, or a related quantitative field, or equivalent industry experience (MSc or PhD preferred)
- 3+ years of hands-on experience building optimization models (mathematical programming, mixed-integer programming, or control-theory approaches) in a production or applied research setting
- Demonstrated experience backtesting models against historical data and tracking experiment and backtest results systematically (MLflow or a comparable experiment-tracking tool)
- Strong Python and SQL skills, including processing large time-series datasets
- Experience translating a real-world operational problem (asset dispatch, resource allocation, scheduling) into a mathematical model
- Ability to work independently in an early-stage, ambiguous environment
Preferred Qualifications:- Hands-on experience with Databricks; Databricks certification is an asset
- Experience with energy markets, battery storage, or demand response programs
- Familiarity with commercial or open-source solvers (Gurobi, CPLEX, or similar)
- Experience partnering with data scientists who build forecasting models used as inputs to optimization
Rodan Role, Compensation & Benefits Include:- Hybrid: 3 days in office in Mississauga, Ontario
- Profit sharing Plan
- Comprehensive health benefits package
- Group RRSP with employer matching
- Base salary range of CAD $110,000 to $130,000
Life at Rodan - Our Culture:At Rodan, we believe a great workplace goes beyond the work itself. Recognized as
Canadas Top Small & Medium Employer of 2026, weve built a culture rooted in collaboration, celebration, and giving back. Heres what you can look forward to when you join the team:
- Celebrations Throughout the Year: We mark occasions and holidays all year long with team events including holiday parties, team dinners, bowling nights, go-karting, Annual Summer BBQ, golf tournaments, and more.
- Learning & Growth: Lunch and learns, crossword challenges, and education-funding programs to keep you sharp and growing in your career.
- Giving Back: Our Employee Initiatives Committee (EIC) organizes food drives and fundraising for local charities throughout the year - and everyone is welcome to get involved.
Apply Now: If youre an optimization specialist who wants to see your models drive real customer savings in a fast-growing energy market, we want to hear from you!
Hiring ProcessRodan Energys hiring process is designed to identify candidates who are the right fit: technically, culturally, and professionally. As part of our process, candidates should be aware of the following:
- Background Check: As part of our hiring process, the successful candidate will be required to complete a background check, which may include a criminal record check, credential verification, and a drivers abstract (if applicable). Professional references will also be collected as part of the process.
- Assignment: Shortlisted candidates may be asked to complete a practical technical assignment. This is an opportunity to demonstrate how you frame an optimization problem, build your model, and validate results against real-world data.
We respect your time and will provide clear instructions and reasonable timelines for any assignments requested.
Referral Bonus: Do you know someone who would be a great fit for our team? We are offering a CAD $2,500 referral bonus for successful referrals that lead to a hire for this role, effective until further notice. Please connect with Jenny Dong at [email protected]
Artificial Intelligence DisclosureRodan Energy may use artificial intelligence tools to support the screening, assessment, or selection of applicants during the recruitment process.
Vacancy Status: This posting is for an existing vacancy.
