Job Description

As an integral part of the Data Science team, the Senior Manager, Data Science will play a key role in our fast growing organization, helping us discover and generate material value from data. The primary focus will be on applying data mining & machine learning techniques to identify business opportunities and build high quality decision support tools & decision making systems. He/She/Them will challenge processes to make smarter decisions while advocating and evangelizing data-fuelled models to support our success.

The ideal candidate demonstrates a strong passion for producing new, creative and leading-edge solutions through all aspects of the data science product life cycle, including productionalization of developed solutions. As a Senior Manager, the candidate will play the role of multi-domain leader & company scientist expert (both as an individual contributor and as a team leader, on the technical strategic direction and on the business project management side).

The Senior Manager will develop high level understanding and become a subject matter expert in the fields and teams that the candidate will be directly overseeing. He/She/Them could be brought to contribute directly or indirectly in multiple fields including pricing, buying intelligence, customer knowledge, recommendation / personalization, marketing and customer.

In Pricing, the candidate will create, develop, support and execute pricing strategies to ensure our competitiveness and extract the most value from our inventory. He/She/Them will be responsible for the performance of markdowns (strategy, execution and monitoring) and contribute to performance pricing initiatives (outside of markdown periods).

• Become the company subject matter expert in the field of pricing
• Oversee a team of data scientists focused on the pricing topic (machine learning model building, data pipelines and process development) leading to the development of complete pricing solutions
• Develop and execute the pricing roadmap (identify opportunities, be aware of business model changes that would require to update the strategies)
• Build optimization strategies for different types of product groups (different objectives, constraints, etc)
• Have a hands on approach and be fully accountable for markdowns operations and performance
• Understand the pricing backend, data structure and technical processes in order to be able to identify upfront challenges and the impact of their changes on pricing models & processes
• Interact with the technical teams to have the right tools in place to adapt to our growth
• Partner with the internal stakeholders on pricing and pricing related topics

Qualifications

• Advise with and elevate a team of world class data scientists, providing leadership through consulting and coaching on a regular basis
• Manage & guide data scientists into providing data driven solutions partnering with strategic business stakeholders
• Identify and lead data science projects that drive material business value and align with the strategic positioning of the department and of Ssense
• Develop partnership & guidance with the other departments (technical & business) to establish and deliver cross-functional projects
• Gather and analyze data, identify key prediction/classification problems, devise solutions and build prototypes
• Formulate machine learning approaches while paying attention to business metrics
• Design features from the rich data available from many sources, training, evaluating, and deploying models
• Develop high-performance algorithms to answer business needs
• Test, implement and deploy algorithms while understanding and resolving dependencies across systems
• Identify and solve for broad, highly complex problems based on a multitude of factors
• Design experiments to maximize insights while minimizing errors
• Enhance data collection procedures to include information that is relevant for building analytic systems
• Process, cleanse, and verify the integrity of data used for analysis
• Evangelize best practices for data synthesization, aggregation, and presentation
• Remain abreast of cutting edge developments in the Data Science domain to enhance current practices and upskill team members

Additional Information

World Class Technology

Technology is at the core of everything we do at Ssense. Driven by an engineering mindset and a problem-solving attitude, we blend fashion with technology to deliver an unparalleled experience to our customers as we build seamless, custom solutions to deliver the Ssense offering.

World Class Team

The Ssense tech team is responsible for an international headless commerce platform. Working in an agile environment, our squads are made up of experienced innovators in Product Management, Qa, Design, DevOps, Software Development, Machine Learning, Data Engineering, and Security. Headquartered in Montreal, our technology organization has been growing at a rate of 2X year-over-year and is doubling once again in 2021 as we expand across Canada, Us, and Europe.

World Class Platform

The Ssense platform runs on Amazon Web Services making use of serverless microservices across web, mobile and app. Our event-source architecture already achieves over 10,000 requests / second and growing at an unmatched pace, currently unseen across the industry. Our data-driven culture of innovation empowers every product team across the tech organization to explore building, testing and learning with the latest in Machine Learning techniques. Our automated continuous improvement DevOps model (making use of both blue / green and canary deployments) results in an average of 50 production releases every day.