Press ENTER to skip to the job details. Press ENTER to search jobs

Architect - Data Science (Remote) Job At The Home Depot in Toronto, ON  M3C 3N6

Architect - Data Science (Remote)

1 Concorde Gate, Toronto, ON  M3C 3N6 View On Google Maps

246425BR Corporate Opportunities Full-Time

We are seeking world-class talent looking to build a career with the world’s largest home improvement retailer, operating more than 2,200 store locations in the U.S, Canada and Mexico. Specifically, your role in The Home Depot Canada will place you at the center of one of the top retailers in Canada that is experiencing an exciting growth trajectory.

You will work with Technology teams and business partners to understand strategic initiatives as well as support the delivery of leading-edge capabilities that support The Home Depot Canada’s retail business.

The Architect - Data Science will be responsible for partnering with key business stakeholders and leveraging internal home depot and industry data to develop predictive algorithms and models. The primary focus of the Architect - Data Science will be to identify trends in data to glean meaningful business insights and drive cross-functional business solutions via statistical data analysis, and advanced analytics techniques in Artificial Intelligence (AI) and Machine Learning (ML). The individual will also work closely with other Technology Product teams and support the various stages of the analytics development lifecycle. A successful candidate will be passionate about seeing real-world impact of advanced analytics and have a solid understanding of scientific and business needs, as well as the areas of data science, AI and ML that can be transformative and impactful to the retail industry.

Roles and Responsibilities:

  1. Leverage strong communication skills and business acumen to work closely with cross-functional business owners to drive data and analytics technologies for business use.
  2. To design, develop and implement predictive/analytical algorithms and statistical data modeling tools to derive insights for complex business operations and processes.
  3. Be a subject matter expert in supervised and unsupervised ML algorithms and other applied AI techniques to derive meaningful and actionable insights from big data.
  4. Implement scalable, efficient processes for large scale data analyses, model development and deployment.
  5. Be responsible for effectively communicating insights, findings, test results, performance analysis to both functional teams, and the senior management along with recommendations for enhancements/improvements.
  6. Continually drive to learn and master new technologies and techniques. Constantly upskill and remain fully updated with the evolving data and analytics community.
  7. Provides technical advice, support and guidance to junior data scientists and ML engineers on navigating ML/AI modeling work for real-world business problems on a case-by-case basis.

Qualification and Experience:

  1. Master’s degree in Computer Science, IT, or Mathematics (or Undergraduate Degree in Computer Science, Math or related quantitative field).
  2. 5-10 years of experience in data science, data mining, analysis, and visualization with the ability to identify and present actionable insights from data to address business problems (preferably in the retail sector).
  3. Have a good understanding of data analysis, advanced analytics with exposure to AI/ML and technologies within the cloud environment.
  4. Demonstrated experience in using statistical and data manipulation languages (e.g. Python, R, SQL) and familiarity with Confluence, and JIRA.
  5. Strong communication, presentation and documentation skills is also required.

What we offer?

  1. An opportunity to gain real-world experience in supporting data science and analytics initiatives within a large retail organization.
  2. A rewarding career path with diverse opportunities for professional growth and development.
  3. A unique and competitive team, an inclusive and collaborative working environment that encourages thinking “outside-the-box”, being inquisitive to learning, and sharing success.
  4. An attractive compensation and benefits package.
Apply Now
Not ready to apply? Save for later
The Home Depot Canada is committed to equity in access to employment and is a diverse and inclusive workplace. We encourage applications from racialized persons, women, Indigenous peoples, persons with disabilities, 2SLGBTQIA+ and Gender Diverse persons, neurodiverse individuals and others who may contribute to the further diversification of ideas. If you require accommodation during the recruitment process, please contact accessibility_Canada@homedepot.com.

Search Open Jobs

Architect - Data Science (Remote)

1 Concorde Gate
Toronto, ON  M3C 3N6

Corporate Opportunities

246425BR

Full-Time

We are seeking world-class talent looking to build a career with the world’s largest home improvement retailer, operating more than 2,200 store locations in the U.S, Canada and Mexico. Specifically, your role in The Home Depot Canada will place you at the center of one of the top retailers in Canada that is experiencing an exciting growth trajectory.

You will work with Technology teams and business partners to understand strategic initiatives as well as support the delivery of leading-edge capabilities that support The Home Depot Canada’s retail business.

The Architect - Data Science will be responsible for partnering with key business stakeholders and leveraging internal home depot and industry data to develop predictive algorithms and models. The primary focus of the Architect - Data Science will be to identify trends in data to glean meaningful business insights and drive cross-functional business solutions via statistical data analysis, and advanced analytics techniques in Artificial Intelligence (AI) and Machine Learning (ML). The individual will also work closely with other Technology Product teams and support the various stages of the analytics development lifecycle. A successful candidate will be passionate about seeing real-world impact of advanced analytics and have a solid understanding of scientific and business needs, as well as the areas of data science, AI and ML that can be transformative and impactful to the retail industry.

Roles and Responsibilities:

  1. Leverage strong communication skills and business acumen to work closely with cross-functional business owners to drive data and analytics technologies for business use.
  2. To design, develop and implement predictive/analytical algorithms and statistical data modeling tools to derive insights for complex business operations and processes.
  3. Be a subject matter expert in supervised and unsupervised ML algorithms and other applied AI techniques to derive meaningful and actionable insights from big data.
  4. Implement scalable, efficient processes for large scale data analyses, model development and deployment.
  5. Be responsible for effectively communicating insights, findings, test results, performance analysis to both functional teams, and the senior management along with recommendations for enhancements/improvements.
  6. Continually drive to learn and master new technologies and techniques. Constantly upskill and remain fully updated with the evolving data and analytics community.
  7. Provides technical advice, support and guidance to junior data scientists and ML engineers on navigating ML/AI modeling work for real-world business problems on a case-by-case basis.

Qualification and Experience:

  1. Master’s degree in Computer Science, IT, or Mathematics (or Undergraduate Degree in Computer Science, Math or related quantitative field).
  2. 5-10 years of experience in data science, data mining, analysis, and visualization with the ability to identify and present actionable insights from data to address business problems (preferably in the retail sector).
  3. Have a good understanding of data analysis, advanced analytics with exposure to AI/ML and technologies within the cloud environment.
  4. Demonstrated experience in using statistical and data manipulation languages (e.g. Python, R, SQL) and familiarity with Confluence, and JIRA.
  5. Strong communication, presentation and documentation skills is also required.

What we offer?

  1. An opportunity to gain real-world experience in supporting data science and analytics initiatives within a large retail organization.
  2. A rewarding career path with diverse opportunities for professional growth and development.
  3. A unique and competitive team, an inclusive and collaborative working environment that encourages thinking “outside-the-box”, being inquisitive to learning, and sharing success.
  4. An attractive compensation and benefits package.
Apply Now
Not ready to apply? Save for later
facebook sharing button twitter sharing button linkedin sharing button copy_url sharing button