Manager, Data Science

**JOIN OUR TEAM**

As a member of the Enterprise Data & Analytics Team, the Data Scientist is an everyday partner with multiple departments, including Global Marketing, Category Management, Shared Services & Finance, Global Technology, and Business Unit Leadership. This is a unique opportunity to work on a new, growing team within a large organization.

Our mission is simple: we make journeys easier and more enjoyable for our customers. We want to lift their spirits by delivering little boosts along the way. We care about our people and our communities, and we look for ways to uplift people first. Wherever your journey’s going, we can help you get there.

**Manager, Data Science**:
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**Department**:Data & Analytics

**Location: Toronto **(305 milner avenue suite 400, right off the 401)

**Type**:Permanent, Full time (40 hours per week)

**Hybrid mode**:3 days in the office and 2 days remotely

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**THE ROLE**:
**RESPONSIBILITIES/ACCOUNTABILITIES**:
Here are just a few ways that you’ll help make journeys better:

- Lead advanced analytics and predictive model development from design through implementation in the areas of retail, pricing and promotion, marketing, merchandising, and other areas of the business as needed.
- Utilize data mining and statistical techniques to derive business value from store, product, operations, financial, and customer transactional data.
- Clearly and concisely explain complex analytical findings to non-analytical peers and business leaders.
- Along with the Director and Senior Director, help to define how the Enterprise Data & Analytics team works with different business units to achieve desired outcomes.
- Provide a strong analytical voice to the rest of the business and be an advocate for using analytics to solve problems and create business value.
- Attract, retain, and develop other team members; provide feedback on areas for development.
- Conduct ad-hoc analyses as required.
- Other duties as assigned.

**KNOWLEDGE, SKILLS AND OTHER QUALIFICATIONS REQUIRED**

We want you to join our team Here’s what we’re looking for:

- Demonstrated knowledge of R, Python, or other analytical programming language.
- Ability to query large data sets using SQL or Spark; experience with cloud-based environments preferred.
- Experience using Data visualization software such as Tableau or Power BI.
- Strong interpersonal skills, including the ability to communicate the business benefits of analytics.
- Availability to travel up to 25% of the time.

**EDUCATION/TRAINING REQUIRED**:

- Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.).
- Master’s degree preferred.
- 5 years of experience in a data science/advanced analytics role; prefer experience with pricing and promotion analytics.
- 2 years of successful experience in a supervisory role preferred, or demonstrated ability to independently lead large-scale advanced analytics projects.

**WHY WORK WITH US**

Our store and office employment opportunities offer you quick career growth with an international company, plus a dynamic work environment that puts people first. Wherever you are in your journey, we have a place for you. Here’s some of the exciting perks we offer:

- Complete benefits packages (medical, dental, etc.).
- Possibility of enrolling in a pension plan with employer contributions or a stock purchase plan.
- Employee discounts in stores and with multiple of our partners.
- Paid time off plan including vacation, sick days and personal days.
- Work in a collaborative, dynamic and high performing team.
- Learning opportunities to develop new skills and to evolve professionally in a fast-growing company.
- Scholarship program available to the employee and the employee's children.
- Hybrid work.

**INTERESTED?**

**We thank all applicants for their interest in this position; only those selected will be contacted.**

LI-LK1 #LI-Hybrid