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Manager, Data Science
3 months ago
MISSION
The Manager of Data Science leads Indigo’s data science and AI practice, supporting the business by building and maintaining Indigo’s AI and ML models and building and publishing segmentations and audiences for targeting, all of which power Indigo’s personalization strategy.
KEY PERFORMANCE METRICS
- Customer engagement through high-quality predictive models.
- Revenue growth through improved assortment and pricing modelling
- Traffic, frequency and retention of our strategic customer segments
- Strength of relationships with key leaders across Merchandising, Marketing and Channel Leadership
- Team employee engagement
- Accuracy of analyses and results in a timely manner
KEY ACCOUNTABILITIES
Functional
- Act as an advocate for the customer by placing them at the forefront of all design and decision-making processes.
- Build and maintain Indigo’s Data Science practice.
- Build and champion business processes that leverage predictive modelling, segmentations, product recommendations, and targeted promotions and offers.
- Support the development of Indigo’s data language and ensure it is used throughout the business.
- Manage the priorities and backlog of the data science team, with accountability for deliverables' quality, budget, and timeliness.
- Prioritize coaching, development, and knowledge sharing across the data science team, and introduce learnings from global best practices.
- Act as a subject matter expert and ambassador in Indigo’s data structure, tools, processes, key metrics, and analytic methodologies
- Identify and integrate technology to create an innovative and efficient data science team
- Challenge the status quo and consistently identify areas for improvement, diagnose issues and working to resolve them
People
- Build strong teams by attracting and developing the best talent
- Bring out the best in others, empower and constructively stretch talent
- Give authentic feedback on performance and potential
- Ensure all team members understand where they stand and have clear performance objectives aligned with Indigo and team goals
- Collaborate with others to drive flexible and iterative solutions, quickly and easily
- Share technical knowledge with others and actively seek to learn from those more knowledgeable than yourself
- Help others see the impacts of their efforts and proactively engage other functions to get input
- Encourage others to freely share their point of view and be open to feedback
- Accountable for the overall engagement, productivity, turnover and bench strength of the team
Cultural
- Model Indigo’s beliefs and convey a positive image in everything you do
- Celebrate diversity of thought and have an open mindset
- Take an active role in fostering a culture of continual learning, taking risks without the fear of making mistakes
- Embrace, champion and influence change through your team and/or the organization
SCOPE
Reports to: Senior Director, Data Science Operations
KEY RELATIONSHIPS
Internal:
- Digital Marketing
- Loyalty
- Merchandising
- Online
- IT
- Business Intelligence & Digital Analytics teams
External:
- Third-party consultants
- Contract programmers (data management)
- CRM/Loyalty technical support
#LI-Hybrid
Qualifications
QUALIFICATIONS
Work Experience / Education / Certifications
- University educated, preferably statistics, mathematics, engineering or computer science
- 5+ years of demonstrated experience in analytics, preferably applied to retail or consumer goods
- 3+ years of direct leadership experience
- Proven ability and experience analyzing customer data for actionable business insight
Competencies / Skills / Attributes
- Skilled at considering business challenges and recommending solutions that leverage data and data science
- Demonstrated expertise building predictive ML/AI algorithms (supervised and unsupervised) and recommendation systems
- Strong SQL and Python skills and demonstrated experience are required. Experience managing data and delivering models through Snowflake is highlyl valued.
- Experience using Large Language Models, and packages such as Pandas, Numpy, scikit-learn, nltk, and Snowpark is highly beneficial
- Effective communication skills that include excellent written, oral, and presentation abilities
- Demonstrated time management skills: the ability to organize and prioritize work to manage timelines and to meet defined deadlines in a fast-paced work environment
- Dedication to exceed performance expectations and approaches work with a sense of urgency and passion
- Passionate about the Indigo brand
Additional Information
At Indigo, we are committed to our communities, our customers, and each other; together we can make a positive impact. We know that fostering diversity and inclusion brings out your full potential and creates a joyful and welcoming environment for everyone. We are driven to be an equitable employer, which highly values your diverse backgrounds, experiences, and perspectives. We believe that you, in all your uniqueness, belong at Indigo. We welcome all applicants and encourage applications from individuals who identify as Black, Indigenous, a person of colour, LGBTQ2+ and people with disabilities. Accommodations are available upon request to individuals who self-identify as having a disability or special need. Please contact Human Resources at Support-HR@indigo.ca if you require an accommodation at any time during the recruitment process.
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