With a career at The Home Depot, you can be yourself and also be part of something bigger.

Data Scientist
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 IT 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 Data Scientist 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 data scientist 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 IT 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.

1. To design, develop and implement predictive/analytical algorithms and statistical data modeling tools to derive insights for complex business operations and processes.

1. 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.

1. Implement scalable, efficient processes for large scale data analyses, model development and deployment.

1. 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.

1. Continually drive to learn and master new technologies and techniques. Constantly upskill and remain fully updated with the evolving data and analytics community.

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+ 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 strong understanding of statistics, probability & foundational Machine Learning Algorithms
4. Proficient in Python, with a solid foundation in machine learning libraries and frameworks like TensorFlow, PyTorch, Scikit-Learn, Flask, FastAPI etc..
5. Proven experience with SQL in any flavor (MySQL, PostgreSQL, Microsoft SQL Server, BigQuery, etc.) with proficiency in writing complex queries for data manipulation and analysis
6. Working Experience with any of the major cloud platforms especially Google Cloud Platform services, such as Vertex AI, GKE, Dataflow, BigQuery, etc.. is a big plus
7. Strong experience in developing & deploying production grade Computer Vision & NLP solutions is a plus
8. Practical Experience of MLOps best practices is a plus
9. Exposure to version control systems such as Git or bitbucket is preferred
10. Excellent problem-solving skills, ability to work independently, and manage multiple projects with various priorities
11. 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.

1. A rewarding career path with diverse opportunities for professional growth and development.

1. A unique and competitive team, an inclusive and collaborative working environment that encourages thinking "outside-the-box", being inquisitive to learning, and sharing success.

1. An attractive compensation and benefits package.