Data Scientist

Motor Coach Industries; Winnipeg; On-site; CAD 75,000 - 95,000; Full time

Job summary

A leading transportation solutions provider in Winnipeg is looking for a Data Scientist to coordinate projects, design machine learning models, and create Power BI dashboards. The ideal candidate has a post-secondary education in a related field, 2+ years of experience in data science, and proficiency in SQL, Python, and Power BI. This role offers competitive wages, health benefits, and opportunities for career advancement in a supportive work environment.

Benefits

Competitive Wages

Extended Health Benefits

Paid Holidays

Pension Plan

Continuous learning environment

Career advancement opportunities

Qualifications

• 2+ years of experience in a data science, AI, or advanced analytics role.
• Strong proficiency with SQL (preferably in Snowflake), Python, and Power BI.
• Solid understanding of machine learning algorithms, model evaluation, and AI workflows.

Responsibilities

• Work with ERP and IoT data sources to build interactive Power BI dashboards.
• Design and develop machine learning models and predictive analytics solutions.
• Collaborate with data engineering teams to ensure robust data pipelines.

Skills

SQL

Python

Power BI

Machine Learning

Statistical Analysis

Data Exploration

Education

Post-secondary education in Business or STEM field

Training/certifications in Data Science, Statistics, AI

Tools

Snowflake

Job description

Data Scientist

POSITION SUMMARY:

The position is coordination of business value added projects including the design, testing, documentation, training and implementation of customized business solutions to meet the requirements of processes associated with our ERP and related business systems.

WHAT YOU WILL DO:

• Work with various ERP and IoT data sources to Build interactive and dynamic Power BI dashboards for data storytelling and stakeholder decision support
• Design and develop machine learning models and predictive analytics solutions using data sourced from Snowflake
• Perform data exploration, statistical analysis, and feature engineering to support AI initiatives
• Collaborate with data engineering teams to ensure robust data pipelines
• Contribute to the development of AI-driven tools and frameworks within the organization
• Evaluate model performance and retrain as needed to adapt to evolving data
• Participate in cross-functional projects involving manufacturing, quality, supply chain and engineering.
• Update training, and documentation.
• Deliver user training to operating groups as required.
• Other duties as assigned

WHAT YOU NEED TO BE SUCCESSFUL:

• Post‑secondary education in a Business or STEM field, or an equivalent combination of education and relevant work experience
• Any combination of training and/or certifications in Data Science, Statistics, and Artificial Intelligence (AI)
• 2+ years of experience in a data science, AI, or advanced analytics role
• Strong proficiency with SQL (preferably in Snowflake), Python, and PowerBi
• Solid understanding of machine learning algorithms, model evaluation, and AI workflows
• Experience building end to end models and integrating them into business processes
• Deep knowledge of data warehousing concepts and cloud‑based data platforms (Snowflake and Fabric preferred)

WHY JOIN OUR TEAM:

• Competitive Wages.
• Extended Health Benefits
• Paid Holidays
• Pension Plan
• A continuous learning environment.
• Ability to advance your career with a growing company.
• Ongoing employee development through a variety of in‑house training initiatives along with tuition subsidies for courses at outside institutions.

OUR WHY:

We exist to move people. Our mission is to design and deliver exceptional transportation solutions that are safe, accessible, efficient and reliable.

NFI Group is a leading independent global bus manufacturer providing a comprehensive suite of mass transportation solutions. News and information are available at www.nfigroup.com, www.newflyer.com, www.mcicoach.com, www.arbocsv.com, www.alexander-dennis.com, www.carfaircomposites.com and www.nfi.parts.com.