Driven Brands™, headquartered in Charlotte, NC, is the largest automotive services company in North America, providing a range of consumer and commercial automotive services, including paint, collision, glass, vehicle repair, oil change, maintenance, and car wash. Driven Brands is the parent company of some of North America’s leading automotive service businesses including Take 5 Oil Change®, Meineke Car Care Centers®, Maaco®, 1-800-Radiator & A/C®, Auto Glass Now®, and CARSTAR®. Driven Brands has approximately 4,800 locations across the United States and 13 other countries, and services tens of millions of vehicles annually.
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.
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Position Location:
OntarioCompensation Range:
$84,200.00 - $150,400.00Compensation Frequency:
AnnualBase 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
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