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PROJECT MANAGER TW
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Rodan Energy Solutions Inc.

Data Scientist

Mississauga, ON, Canada

Base salary range of CAD $110,000 to $130,000 · Full-time

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Job details

Pay: Base salary range of CAD $110,000 to $130,000
Job type: Full-time
Apply by: Jan 6, 2027
Posting language: English
Posted: Oct 8, 2026

Original job description

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:

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, 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:

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 Canada’s Top Small & Medium Employer of 2026, we’ve built a culture rooted in collaboration, celebration, and giving back. Here’s 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 you’re 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 Process
Rodan Energy's 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 driver's 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 jenny.dong@rodanenergy.com

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. If you require an accommodation, please contact Asmin.Shadir@rodanenergy.com so we can work with you to meet your needs in a manner that respects dignity, independence, integration, and equal opportunity.

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More about this job

Responsibilities

The Data Scientist will build and own optimization models for battery and price-responsive load performance to maximize value against market signals. They will also partner with forecasting and data engineering teams to integrate models and ensure high-quality data inputs.

Requirements

Candidates must have a degree in a quantitative field and at least 3 years of hands-on experience building optimization models in production environments. Strong proficiency in Python, SQL, and experience with experiment tracking tools like MLflow are required.

Skills

Optimization models
Mathematical programming
Mixed-integer programming
Control-theory
Python
SQL
Time-series analysis
Databricks
MLflow
Energy markets
Battery storage
Demand response
Gurobi
CPLEX
Data modeling
Backtesting

Benefits

Profit sharing plan
Comprehensive health benefits package
Group RRSP with employer matching
Education-funding programs

Visa sponsorship

Not detected in the job text

Hiring contact

Jenny Dong

Hiring contact email

jenny.dong@rodanenergy.com

Keywords

Data Scientist
Optimization
Energy Markets
Battery Storage
Databricks
MLflow
Python
SQL
Time-series
Mathematical Programming
Mixed-integer Programming
Control-theory
Gurobi
CPLEX
Demand Response
Sustainability
Grid Efficiency
IESO
AESO
PJM
NYISO
MISO
ERCOT
Unity Catalog
Backtesting
Asset Dispatch
Resource Allocation
Scheduling
Data Engineering
Forecasting

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