Data Scientist

Driven Brands Inc.; Mississauga; Remote; CAD 84,000 - 151,000; Full time

Job summary

An innovative automotive services company is seeking a skilled Data Scientist to leverage data science techniques for driving business insights and innovation. This role combines traditional data analysis with machine learning, empowering the organization to forecast outcomes and optimize performance. The ideal candidate will work closely with Data Ops to design and integrate data models, build data pipelines, and ensure seamless data flow for reporting and visualization. Join a dynamic team that values high performance and creativity, and contribute to exciting growth in the automotive industry.

Benefits

Health and Wellness Benefits

Paid Time Off

Holiday Pay

Qualifications

• 8+ years of hands-on experience in data science and machine learning.
• Strong proficiency in Python, R, and SQL for data analysis.
• Experience with BI tools for creating data visualizations.

Responsibilities

• Develop and deploy machine learning models for business insights.
• Collaborate with teams to build and integrate data models.
• Create and maintain BI dashboards for data visualization.

Skills

Machine Learning

Predictive Analytics

Data Modeling

Python

R

SQL

Data Integration

Statistical Modeling

Data Visualization

ETL Processes

Education

Degree in Mathematics

Degree in Statistics

Degree in Data Science

Degree in Computer Science

Tools

BigQuery

QlikSense

Power BI

Tableau

Excel

Job description

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Company:Driven Brands

We invite you to join us at Driven Brands!

Headquartered in Charlotte, NC, Driven Brands (NASDAQ: DRVN) is the largest automotive services company in North America, providing a range of consumer and commercial automotive needs, including paint, collision, glass, vehicle repair, oil change, maintenance and car wash.

With over 4,500 centers in 15 countries, Driven Brands is the parent company of some of North America’s leading automotive service brands including Take 5 Oil Change, Take 5 Car Wash, Driven Glass, Meineke, Maaco, CARSTAR, and more. Our network services over 50 million vehicles annually and generates more than $5 billion in system-wide sales each year.

Our culture inspires high performance and innovation, enabling our employees to go further, faster in their careers. With amazing people and great brands, we confidently look forward to exciting growth ahead, and believe in following the values that support this vision.

Job Description

CARSTAR is seeking an experienced and highly analytical Data Scientist who is passionate about leveraging data science techniques to drive business insights and innovation. The ideal candidate is skilled in machine learning, predictive analytics, and data modeling, with a strong ability to develop and deploy models that forecast outcomes and optimize business performance.

This role combines traditional data analysis with machine learning and model development, enhancing our ability to generate predictive insights. It involves working closely with the Data Ops team to design and integrate data models from multiple sources using BigQuery. The candidate will be responsible for building and optimizing data pipelines, writing efficient queries in BigQuery, and ensuring the seamless flow of data to QlikSense for reporting and visualization.

The role demands proficiency in Python, R, or SQL, experience with BI tools, and strong knowledge of ML algorithms, statistical modeling, data integration, and ETL processes. Expertise in data wrangling, integration, and delivering analytical insights is essential.

Title: Data Scientist

Reports to: Sr. Director of Analytics

Specific Responsibilities

• Develop and deploy machine learning models to identify patterns, forecast business outcomes, and optimize strategies.
• Conduct predictive analytics to support data-driven decision-making and uncover new business opportunities.
• Collaborate with the Data Ops team to build and integrate data models from multiple sources using BigQuery.
• Write and optimize queries in BigQuery to support data extraction, integration, and reporting needs.
• Create and maintain BI dashboards (QlikSense, Power BI, or equivalent) to visualize insights.
• Ensure data flows effectively into QlikSense for real-time reporting and visualization.
• Leverage Python, R, or ML libraries (e.g., scikit-learn, TensorFlow, PyTorch) to build and refine models.
• Build strong relationships with Operations, Insurance, Finance, and Data Ops & BI teams, collaborating to deliver integrated data solutions.
• Present findings and recommendations at regional meetings and conferences, translating complex analytics into clear, actionable insights.
• Stay current with emerging data science trends and recommend new techniques or tools to enhance analytics capabilities.
• Contribute to team success by achieving related goals and results as needed.
• Perform other duties as reasonably assigned.
  
  

Qualifications

• Degree in Mathematics, Statistics, Data Science, Computer Science, or a related field.
• 8+ years of hands-on experience in data science, machine learning, and advanced analytics.
• Proven experience building and deploying predictive models and performing statistical analysis.
• Strong proficiency in Python, R, or ML tools
• Extensive experience working with BigQuery for data integration, modeling, and querying.
• Strong SQL skills for data extraction, transformation, and analysis are a plus.
• Demonstrated ability to create data visualizations and reports using BI tools (QlikSense, Power BI, Tableau).
• Experience in building data pipelines and integrating data sources into reporting platforms.
• Strong quantitative and analytical skills, including sourcing, structuring, and automating data analysis.
• Ability to simplify technical topics for both technical and business stakeholders.
• Advanced proficiency in Excel and PowerPoint.
• Excellent verbal and written communication skills with effective presentation abilities.
• Proven ability to influence cross-functional teams and drive the adoption of data science solutions.
• A motivated self-starter with a proactive mindset, able to work independently and collaboratively.
  
  

#REMOTE

#DBCORP

Position Location:

Ontario

Compensation Range

$84,200.00 - $150,400.00

Compensation Frequency

Annual

Base pay offered may vary depending on actual location, job-related knowledge, skills, and experience. Supplemental pay types may include commissions or bonus incentives, depending on the role. Driven Brands offers a variety of health and wellness benefits including paid time off and holiday pay. Details regarding our benefits can be found here: https://www.drivenbrandsbenefits.com

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Retail

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