Model Development Specialist - Winnipeg, Canada - Manitoba Hydro

Manitoba Hydro

Verified Company

Winnipeg, Canada

2 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Description

MODEL DEVELOPMENT SPECIALIST

Winnipeg, MB

_ Manitoba Hydro is consistently recognized as one of Manitoba's Top Employers_

_ Great Benefits_

Competitive salary and benefits package.
Definedbenefit pension plan.
Nineday work cycle which normally results in every other Monday off, providing for a balanced approach to work, family life

- and community.

Flextime and partially remote work schedule (providing the option to work remotely 3 days per 2 week period), depending on

nature of work, operational requirements and work location.

Manitoba Hydro is a leader among energy companies in North America, recognized for providing highly reliable service and
exceptional customer satisfaction. Join our team of Manitoba's best as we continue to build a company that supports innovation,
commitment and customer service.

We are seeking a Professional to join our Integrated Resource Planning division. You will be responsible for developing statistical
and econometric analyses and model simulations necessary to prepare the Electric Load Forecast and Natural Gas Volume
Forecast as well as developing Residential and Commercial energy sales forecasts, end-use models, and other specialized models
needed by the Department.

_ Responsibilities:
_

Develop econometric models from historic data to produce Residential and Commercial customer, average use and sales

forecasts for electricity and natural gas.

Collect and assess historic and forecast demographic, key economic indicators, and fuel price information, and ensure these

are accurately incorporated into the forecasting models.

Design and implement a detailed Residential End Use model that utilizes survey data, billing data and appliance usage

estimates.

Forecast future saturations and usage of residential building types, new and existing construction, fuel usage for heating and

electricity and other residential end uses.

Develop and derive results from other needed forecasting models including a fuel price elasticity model, a fuel switching

model, a monthly growth model, a probability analysis model, and an hourly load model.

Develop and support load forecast scenarios to support Integrated Resource Planning process.
Collect, interpret, and incorporate historic and forecast Demand Side Management estimates into the electric and gas

- forecasts.

Design sample frames and develop poststratification techniques for analysis of the Residential and Commercial energy use

- surveys.

Document the models, all changes to the models and the quantitative effect of the changes for inclusion into the forecast

- documents.

Provide econometric analysis, stochastic analysis, and model simulations to respond to internal, external and Public Utility

Board requests.

_ Qualifications:
_

A bachelor's degree in Statistics or Applied Economics or a related field and four years of directly related work experience

demonstrating the skills and expertise in data analysis and model development.

Must possess a demonstrated experience in data analysis packages such as SPSS, SAS and R to produce explanatory

models and model simulations.

Must possess strong analytical and problemsolving skills, necessary to develop creative solutions.
Must possess excellent computer skills and a thorough knowledge of Microsoft Office.

MANITOBA HYDRO IS COMMITTED TO DIVERSITY AND EMPLOYMENT EQUITY

Reference Code:

CO

Must be selfmotivated and have the ability to work independently and complete work assignments accurately and

on-schedule.

_ Salary Range_
Starting salary will be commensurate with qualifications and experience. The range for the classification is $40.75-$56.22 Hourly,
$78,076.44-$107,734.64 Annually.

30, 2023.
We thank you for your interest and will contact you if you are selected for an interview.

_ This document is available in accessible formats upon request. Please let us know if you require any accommodations_
**_during the recruitment process._