Job Details

Senior Data Scientist


Date Opened: 05/18/2022

Job Type:

Job Number: 220002I7

Job Description

Who we are:

As North America’s oldest startup and Canada’s purpose-driven digital marketplace, The Bay is on a high-growth mission to rewrite the rules of retail to help Canadians live a colorful life. If you believe in the power of our iconic brand and thrive on problem-solving at scale, we want you to join our team.

At The Bay, smart, high-performing team members will challenge you to learn and grow every day. We value ambitious work and great ideas grounded in data and insights. We're looking for talented people who love a fast-paced environment, embrace change, and are looking to make an impact with groundbreaking ideas.

We are building a digital-first company and brand for a diverse world and we need an inclusive team to reach our potential. We strongly encourage applications from everyone to come and join a winning team that supports diverse thinking and demonstrates innovation, energy, creativity, and vision every day.

You can learn more and view available positions in Bengaluru, by visiting

What This Position Is All About: 

Help The Bay deliver high-quality, trend-right, and luxury merchandise to our Store and Online customers! By contributing to the Center for Acceleration ML/AI  team using data science and Machine learning skills, you will add value to multiple functions and business units across the company by helping the team(s) make high impact business decisions and build ML/AI solutions.

Who You Are:  

  • Generates a variety of approaches to problem solving including new and novel ideas
  • Comfortable with change and challenging convention
  • Inspires others with their vision and sense of purpose
  • Build Morale and the spirit of the team, shares wins and success
  • You have a can-do attitude and a curious mindset
  • Approach your work through the lens of the customer to drive digital and in-store business and customer experience improvement

As a Data Scientist you will: 

  • Lead the development of machine learning products and models from inception to production
  • Own the modeling and feature engineering process for current and future predictive analytics projects.
  • Identify areas for ML/AI opportunities and demonstrate to internal clients how ML/AI can improve their business
  • Communicate and collaborate across the wider organization, influencing decisions without direct authority with inclusive, adaptable and persuasive communication
  • Summarizes statistical findings and draws conclusions, presents actionable business recommendations.
  • Lead by example, helping other team members learn and improve, to level up the team's technical capabilities and business awareness.
  • Maintain and expand your knowledge of ML/AI and current technology through training opportunities, conferences, etc.

Must haves:

1. Four year degree or equivalent experience

2. 3+ years of relevant data science experience

3. Strong analytical, forecasting, problem solving, and detail orientation

4. Proficient models development skills with different AI/ML frameworks such as Keras, Pytorch, Tensor Flow, 5cikit-Learn

6.  Fluency in SQL and Python is required, Dataiku and Snowflake is considered an asset

7. A strong team player and self-starter with a passion to learn new tools & technology

8. Exceptional written and verbal communication skills

Good to haves:

1. Experience in retail and/or Apparel/Fashion industry

2. Working experience in dealing with North America stakeholders

3. M.Sc. in Computer Science or other post-graduation degree

Are there specific certifications required for the role:


How Often You May Travel:  


Your Life and Career at HBC:  

  • Be part of a world-class team; work with an adventurous spirit; think and act like an owner-operator! 
  • A culture that promotes a healthy, fulfilling work/life balance 

Job Qualifications

Thank you for your interest with HBC. We look forward to reviewing your application. 

HBC provides equal employment opportunities (EEO) to all employees and applicants for employment.