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Data Scientist – Operations Analytics

Loblaw Companies Ltd Head Office

This is a Full-time position in Ottawa, ON posted April 28, 2021.

Referred applicants should not apply directly to this role.

All referred applicants must first be submitted through Workday by a current Loblaw Colleague.

Location: 1 Presidents Choice Circle, Brampton, Ontario, L6Y 5S5 The decision to join a company is a big one.

We have opportunities for hard working, energetic and reliable people just like you.

Why is this role important?

The decision to join a company is a big one.

We have opportunities for hard working, energetic and reliable people just like you.

Why is this role important?

Are you at the top of your game?

Bring your expertise and knowledge to Canada’s largest retailer.

We are looking for smart, nice, and curious team members to help bring our Data, Insights & Analytics game to the next level.

This is an exciting time to join our team
– we are changing the game in a big way If you are looking to join a company that offers unlimited opportunity, excellent leadership, world-class training and makes a big impact on the community
– this is the role you’ve been waiting for The Data, Insights & Analytics team at Loblaw is hiring a Data Scientist with experience in analytics solution development and problem solving.

The incumbent will be responsible for conducting analysis and developing production-ready models and solutions to help reduce costs and improve operational store performance.

The successful candidate will have experience with identifying needs and creating process improvement solutions, working with multiple stakeholders and maintaining collaborative relationships with business partners.

The candidate should have solid working knowledge of Python and SQL.

Process automation, operations research, machine learning, and software engineering skills are an asset.

The candidate will be a self-starter who has passion for providing various ways to improve effectiveness within the business.

What You’ll Do: Meet with various business units to understand their existing processes and identify areas of opportunities and improvement Prepare and extract data using SQL Design analytics solutions using machine learning, statistical modeling, or linear/nonlinear programming Create Python programs to solve business needs Strictly adhere to legal and compliance guidelines; regarding access and exposure to sensitive and confidential information What You’ll Bring: Masters degree (PhD preferred) in an analytical field of study (e.g.

Statistics, Economics, Computer Science, Engineering, Mathematics, Finance) 3 years of experience in an analytical role working with large data sets and analytic tools 3 years of experience with SQL 3 years of experience with Python (especially in machine learning libraries such as scikit-learn / TensorFlow / PyTorch) 3 years of experience in application of machining learning, statistical modeling, or mathematical programming Experience in software engineering / algorithms development Experience with time-series is an asset Data mining experience working with a large relational database Superb analytical and conceptual thinking skills; to not only manipulate but also derive meaningful interpretations from data Ability to take initiative, multi-task and work in a fast-paced environment Capability to liaise with all levels across the enterprise on projects and ad-hoc requests Strong detail orientation is essential in this role A team player and self-starter What You Can Expect: We are a team of diverse and ambitious analysts, who cultivate a friendly and inclusive work environment where you can be yourself.

Our employees’ development is at the core of our business, offering endless possibilities for growth, learning and mobility.

Let us help grow your skills through one of our many resources including the Loblaw Virtual Learning Centre, where you have access to hundreds of learning tools, or through casual coffee chats with our leaders who were once in your shoes.

Other perks of joining Loblaw: Competitive compensation and benefits package Office with incredible amenities including an on-site gym, volleyball court and basketball court (turned ice rink in the winter) A flexible work environment which values balance Colleague Discount Program Tuition reimbursement program Employee Share Ownership plan Pension Plan If the above sounds like a great fit, then we would love to hear from you Apply today, and get the process started.

If you meet the above requirements, expect a call from one of our recruiters, followed by an in-person interview.

Our recruitment process will allow you to meet and interact with colleagues at various levels of our business to give you a great perspective of life at Loblaw.

We thank all candidates for their interest but please note, those candidates who meet the minimum requirements for the position will be contacted.

How You’ll Succeed: At Loblaw, we seek great people to continually strengthen our culture.

We believe great people model our values, are authentic, build trust and make connections.

If that sounds like you, and you are open-minded, responsive to change and up to the challenges provided in a fast-paced retail environment, apply today.

In addition, we believe that compliance with laws is about doing the right thing.

Upholding the law is part of our Code of Conduct
– it reinforces what our customers and stakeholders expect of us.

Employment Type: Full time Type of Role: Regular Loblaw recognizes Canada’s diversity as a source of national pride and strength.

We have made it a priority to reflect our nation’s evolving diversity in the products we sell, the people we hire, and the culture we create in our organization.

Accommodation is available upon request for applicants with disabilities in the recruitment and assessment process and when hired.

Please Note: If you have Employee Self Service (ESS) on Workday, apply to this job via the Workday application.