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Data Scientist

  • Job
    Full-time
    Senior Level
  • Toronto

AI generated summary

  • You need a Master's degree in a quantitative field, 5+ years in data science, strong skills in Python, SQL, cloud services, ML, and problem-solving, plus excellent communication abilities.
  • You will analyze data, develop predictive models, communicate insights, collaborate with teams, and continuously learn new technologies in a fast-paced environment.

Requirements

  • Master’s degree in Computer Science, IT, or Mathematics (or Undergraduate Degree in Computer Science, Math or related quantitative field).
  • 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).
  • Have a strong understanding of statistics, probability & foundational Machine Learning Algorithms
  • Proficient in Python, with a solid foundation in machine learning libraries and frameworks like TensorFlow, PyTorch, Scikit-Learn, Flask, FastAPI etc..
  • 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
  • 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
  • Strong experience in developing & deploying production grade Computer Vision & NLP solutions is a plus
  • Practical Experience of MLOps best practices is a plus
  • Exposure to version control systems such as Git or bitbucket is preferred
  • Excellent problem-solving skills, ability to work independently, and manage multiple projects with various priorities
  • Strong Communication, Presentation And Documentation Skills Is Also Required.

Responsibilities

  • Leverage strong communication skills and business acumen to work closely with cross-functional business owners to drive data and analytics technologies for business use.
  • To design, develop and implement predictive/analytical algorithms and statistical data modeling tools to derive insights for complex business operations and processes.
  • 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.
  • Implement scalable, efficient processes for large scale data analyses, model development and deployment.
  • 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.
  • Continually drive to learn and master new technologies and techniques. Constantly upskill and remain fully updated with the evolving data and analytics community.

FAQs

What is the primary focus of the Data Scientist role at The Home Depot Canada?

The primary focus is 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).

What qualifications are required for the Data Scientist position?

A Master’s degree in Computer Science, IT, or Mathematics (or an Undergraduate Degree in a related quantitative field) along with 5+ years of experience in data science, data mining, analysis, and visualization.

What programming languages and tools should a candidate be proficient in?

Candidates should be proficient in Python and have a strong foundation in machine learning libraries and frameworks like TensorFlow, PyTorch, and Scikit-Learn, as well as SQL for data manipulation and analysis.

Is experience with cloud platforms important for this role?

Yes, working experience with major cloud platforms, especially Google Cloud Platform services such as Vertex AI, GKE, and BigQuery, is considered a big plus.

What skills are necessary for effective communication in this position?

Candidates need strong communication, presentation, and documentation skills to effectively communicate insights, findings, and recommendations to cross-functional teams and senior management.

Are there any preferred experiences related to machine learning in this role?

Yes, strong experience in developing and deploying production-grade Computer Vision and NLP solutions, as well as practical experience of MLOps best practices, are considered pluses for this position.

Will the Data Scientist be expected to work independently?

Yes, the candidate should possess excellent problem-solving skills and the ability to work independently while managing multiple projects with varying priorities.

What kind of work environment does The Home Depot provide?

The Home Depot offers an inclusive and collaborative working environment that encourages innovative thinking, learning, and sharing success.

What career growth opportunities are available for this role?

The role provides a rewarding career path with diverse opportunities for professional growth and development within a large retail organization.

Is there an emphasis on continuous learning in this position?

Yes, the role encourages candidates to continually drive to learn and master new technologies and techniques and to remain updated with the evolving data and analytics community.

careers.homedepot.com

Retail & Consumer Goods
Industry
10,001+
Employees
1979
Founded Year

Mission & Purpose

The Home Depot, the world’s largest home improvement specialty retailer, values and rewards dedicated, knowledgeable, and experienced professionals. We operate over 2,200 retail stores in all 50 states, the District of Columbia, Puerto Rico, the U.S. Virgin Islands, Guam, Canada, and Mexico. All of our associates have one thing in mind — helping our customers build and improve their homes. Join The Home Depot team today and see for yourself why we are consistently ranked as a top Fortune 500 company.