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Senior Data Scientist - 12 Month Contract

Canadian Tire Corporation

Toronto

On-site

CAD 90,000 - 120,000

Full time

7 days ago
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Job summary

A major Canadian retail company is seeking a Senior Data Scientist to provide leadership and develop machine learning models for business impact. The ideal candidate will have extensive experience with data science, strong analytical skills, and a collaborative approach to problem-solving. This role offers competitive compensation and opportunities for growth in a diverse workplace.

Benefits

Competitive salaries
Store discounts
Mental health benefits

Qualifications

  • 3+ years of relevant work experience.
  • Experience with CI/CD, DevOps, and MLOps tools.
  • In-depth experience with cloud technologies.

Responsibilities

  • Develop best practices and sustainable data science platforms.
  • Mentor team members on data science practices.
  • Create ML models to drive business outcomes.

Skills

Machine learning
Statistical modeling
Data analysis
Communication

Education

M.S degree in Statistics, Engineering, Computer Science

Tools

Python
SQL
R
TensorFlow
PyTorch
Job description
Overview

The Senior Data Scientist role provides technical and thought leadership for the Triangle Data Science team, alongside hands-on development of key machine learning models driving Triangle KPIs. The Senior Data Scientist will be the subject matter expert in data science best practices, practical MLOps and related technologies. They will also develop expertise in customer-related data sources and the deployment/application of models in a customer-led loyalty program. The dynamic environment requires individuals with a cross functional background, excellent organizational skills, experience working in an agile project environment, advanced analytical ability, strong communication skills to deal effectively with stakeholders and the ability to work effectively in a team as well as independently.

You have a strong command of machine learning, data science and software engineering. Statistics is your strong suit. You’re analytical, a problem-solver, detail-oriented and enjoy working in a high-volume work environment. You’re ambitious, balance technical and business acumen to offer strategic counsel to senior leadership and stakeholders. Thriving in a fast-paced environment, you network on all levels and work with an ‘automate first’ mindset to continuously strive towards efficiency.

What you'll do
  • Partner with technical stakeholders to develop best practices, select tools and create sustainable data science platforms. Be a point of contact with IT and other CTC ML/AI groups

  • Work hand-to-hand with other data scientists to understand technical challenges, developing technology and process solutions to overcome these problems ultimately adding tangible business value

  • Create ML models alongside triangle data scientists to drive business outcomes and guarantee that recommended solutions work as intended

  • Research and prototype cutting edge tools and technology, from MLOps suites to applications of Agentic AI

  • Provide mentorship to team members on data, code, and data science best practices

  • Lead the creation of efficient, cost-effective high-availability pipelines

What you bring
  • M.S degree in Statistics, Engineering, Computer Science or a related field

  • 3+ years of relevant work experience

  • Experience with data science disciplines, including hypothesis testing, statistical modeling, machine learning, recommendation systems, artificial intelligence, cognitive science, deep learning, etc.

  • Hands-on experience with CI/CD, Devops and MLOps tools and concepts

  • In-depth experience with Python, SQL and R

  • Experience using advanced tools such as TensorFlow, PyTorch, etc. and working knowledge with relational and non-relational modeling, database applications and integrations, ETL tools, client/server solutions, and modern query languages

  • Experience with cloud (e.g. AWS, Azure and GCP) and industry standard data warehousing technologies (Cloudera, Snowflake, BigQuery etc.)

  • Experience in working with Big Data technologies (e.g. Hadoop, HIVE, Spark)

  • Project management, team mentorship and leadership qualities

  • We are especially interested in candidates who have experience in Data intelligence and visualization platforms such as Looker, Google Data Studio, Tableau or other similar tools

About Us

Canadian Tire Corporation, Limited (“CTC”) is one of Canada’s most admired and trusted companies.With more than 90 Owned Brands, 1,700 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there's a place for you here.

Our Commitment to Diversity, Inclusion and Belonging

We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.

Accommodations

We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.

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