Data Scientist at Rodan Energy Solutions

Rodan Energy Solutions; Mississauga; Hybrid; CAD 110.000 - 130.000; Vollzeit

Benefits dieser Stelle

Hybrid work arrangement (Mississauga)

Profit sharing plan

Comprehensive health benefits package

Group RRSP with employer matching

Zusammenfassung

Rodan Energy is seeking a data-savvy optimization specialist to build and own battery/PRL optimization models. You will backtest against historical data, track experiments with MLflow, and collaborate with forecasting scientists and data engineers to scale across North American markets.

The role targets growth in energy market optimization, with a hybrid work model and a strong focus on delivering measurable value through advanced analytics.

Qualifikationen

• 3+ years hands-on experience building optimization models in production or research.
• Experience backtesting models and tracking results with MLflow or similar tools.
• Strong Python and SQL skills for large time-series datasets.
• Ability to translate real-world operational problems into mathematical models.
• Comfort working independently in an early-stage environment.

Aufgaben

• Build and own optimization models for battery and PRL performance against DA/RT signals.
• Take ownership of the battery optimization project after a shadowing period.
• Backtest models against historical data to validate performance before deployment.
• Track experiments and backtest results to compare model iterations over time.
• Collaborate with forecasting data scientists to integrate forecasts as inputs.
• Partner with Data Engineering to ensure data quality for models.
• Support expansion of optimization from Mississauga to wider markets.

Kenntnisse

Optimization modeling

Python

SQL

Time-series data

Independent work

Tools

Databricks

MLflow

Solvers (Gurobi/CPLEX)

Jobbeschreibung

This Full time on site position offers great opportunities for career growth.

About Us:

At Rodan Energy, our mission is Making Sustainable, Attainable. As a leading North American energy services company, we provide innovative energy solutions that help clients reduce energy costs and GHG emissions, support electrification, and enhance grid efficiency. With over 20 years of expertise, we’re trusted by North America’s largest energy users, power producers, and utilities.

Why Join Rodan:

Thriving Industry: Join a rapidly growing sector at the forefront of innovation and sustainability, shaping the future of energy management. Product Market Fit: With a 98% client retention rate and consistent YOY growth, Rodan has built a reputation for delivering trusted, long-term partnerships with industry leaders. Top Talent & Strong Culture: Collaborate with high-performing, passionate individuals who are committed to excellence and sustainability.

What Makes This Role Great:

• * 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, you'll 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:

• * 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:

• * 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.

Hiring Process

• * 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 driver's abstract (if applicable).
• * 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.

Professional references will also be collected as part of the process.

Artificial Intelligence Disclosure

Rodan 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. Rodan Energy Solutions is committed to an inclusive, accessible recruitment and employment experience in compliance with the Accessibility for Ontarians with Disabilities Act, 2005 (AODA). Accommodation is available upon request throughout the hiring process and, if hired, during employment.