Data Scientist

Date: Jul 16, 2024

Location: Thornhill, ON, CA, L3T 0A1

Company: CAA Club Group

About Us

CAA Club Group of companies is looking for a Data Scientist to join our team. The successful applicant must reside in South Central Ontario as this position in a hybrid position and does require time in office. 

The Data Scientist’s role is to harness vast amounts of data to develop and implement state-of-the-art machine learning models for use cases related to multiple lines of business. The data scientist will exhibit excellent knowledge of data science, data engineering, and data analysis tools and techniques, including experience working with large datasets. The data scientist will collaborate with cross-functional teams to enhance our products and services, driving innovation and providing actionable intelligence to meet business goals.

Who we are

As Canada's largest automobile association, we are passionate about keeping our Members safe-- whether they are on the road, at home, or travelling abroad. Meeting the diverse needs of our two-million Members requires high performing, forward thinking, and innovative people who work collaboratively to keep propelling our business forward. Life at CAA Club Group is fast paced, performance-driven and rewarding. We value our Associates' career growth and ongoing professional development-- and we regularly recognize their achievements and outstanding results. CAA Club Group (CCG) is known for providing stellar emergency roadside assistance to our motoring Members and non-Members. We work hard and play hard. We're about doing what's right and feeling good about it.

Position Details

What You Will Do:

  • Defining Problem Stements - Work closely with cross-functional teams, including analysts, product managers and domain experts to understand business requirements, formulate problem statements, and deliver relevant data science solutions.
  • Machine Learning Model Development - Develop and optimize machine learning models by processing, analyzing and extracting data from varying internal and external data sources.
  • Data Preprocessing – Own and manage complex ETL pipelines to clean, preprocess and transform large datasets.
  • Feature Engineering - Identify and engineer relevant features to enhance model performance and accuracy
  • Model Deployment and Evaluation – Design and implement robust evaluation metrics and frameworks to assess and monitor the performance of machine learning models

Operational Management

  • Develop algorithms and predictive models to solve critical business problems.
  • Develop tools and libraries that will help analytics team members more efficiently interface with large amounts of data.
  • Analyze large, noisy datasets and identify meaningful patterns that provide actionable results.
  • Understand and recommend the best technology and/or tools to execute a data science/machine learning task  in development and production.
  • Create informative visualizations that intuitively display large amounts of data and/or complex relationships.
  • Provide and apply quality assurance best practices for data science services across the organization.
  • Develop, implement, and maintain version control and testing processes for modifications to algorithms and data analytics.


Who You Are:

  • A Master’s degree in Mathematics, Statistics, Data Analytics, Computer Science or directly related field.
  • Preference will be given to candidates with PhD in the field of Science/Mathematics/Statistics and relevant experience in machine learning algorithms, tools and technology.
  • Extensive experience solving analytical problems using quantitative approaches, preferably in the insurance sector.
  • Comfortable in manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources using Python/R libraries and SQL
  • Familiarity with relational, SQL and NoSQL databases.
  • Knowledge of statistical analysis tools such as R,  is a plus.
  • Expert knowledge of scripting in Python using OOPS concepts
  • Experience with PowerBI.
  • Experience in using cloud AutoML tools including on Azure, Amazon, Google, etc
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies.
  • Experience in DevOps or MLOps is a plus
  • Experience with DS or ML frameworks and libraries (e.g., Spark, TensorFlow, PyTorch) is a plus.
  • Experience in owning and managing complex ETL pipelines using Control M, AirFlow is a plus.
  • A strong passion for empirical research and for answering hard questions with data.
  • A strong hunger to learn and use new and latest technologies and tools.
  • Experience working in a team-oriented, collaborative environment.
  • A flexible analytic approach that allows for results at varying levels of precision.
  • Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
  • Good written and verbal communication skills.
  • Strong technical documentation skills.
  • Good interpersonal skills.
  • Keen attention to detail.
  • Ability to effectively prioritize and execute tasks without supervision in a high-pressure environment.

Our Commitment

Get ready to drive your career forward. Life at CAA Club Group is fast paced, performance-driven and rewarding. We value our Associates' career growth and ongoing professional development - and we regularly recognize their achievements and outstanding results.

We are caring.  We are leaders.  We are innovators.  We are collaborative. We work hard and play hard. We're about doing what's right and feeling good about it.

We are an equal opportunity employer and are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act, 2005 (AODA). CCG will provide accommodations to job applicants with disabilities throughout the recruitment process. If you require an accommodation, please notify us and we will work with you to meet your needs.

As an organization we are focused on Member safety, which includes the safety and well-being of our Associates. Therefore, you must be and remain fully vaccinated as a condition of employment.