SSENSE (pronounced [es-uhns]) is a global technology platform operating at the intersection of culture, community, and commerce. Headquartered in Montreal, it features a mix of established and emerging luxury brands across womenswear, menswear, kidswear, and Everything Else.

SSENSE has garnered critical acclaim as both an e-commerce engine and a producer of cultural content, generating an average of 100 million monthly page views. Approximately 80% of its audience is between the ages of 18 to 40. It is privately held and has achieved high double digit annual growth and profitability since its inception.

The Senior Manager, Data Science will be responsible for the technological advancement in the field of performance marketing (strongly oriented on Google advertising auctions) to help us optimize our advertising spends to generate both strong short term conversions as well as long term (increasing the quality of our acquired audiences).They will be partnering with the Growth specialists & principals to refine the strategy and objectives. The candidate will be involved in all aspects of data product life cycle: research, develop and oversee implementation (including productionalization in AWS machine learning frameworks). They must show strong business acumen, strong technical skills and the ability & interest to oversee data projects from inception to final delivery & continuous monitoring while also having a hands-on approach.

Through the journey at SSENSE, the candidate will also be brought to contribute in other areas (e.g. recommendation, customer) and will see his/her scope increase to support our growth and data savviness.

• Be a subject matter expert in field of performance marketing
• Develop and execute the roadmaps (identify opportunities, understand model / systems 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 operations and performance (model drift, reliability of deployed services, etc)
• Build high quality decision support tools & decision making systems

RESPONSIBILITIES

• Advise with and elevate a team of world class data scientists & machine learning engineering, providing leadership through consulting and coaching on a regular basis
• Manage & guide the team of data scientist and machine learning engineers into providing data driven solutions partnering with strategic business stakeholders while leading to the development of complete solutions including their deployment
• 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

• Master’s or PhD in Data Science, Computer Science, Engineering, Mathematics, or a related field
• A minimum of 5 years experience with Data Science, Predictive Analytics and Machine Learning with a focus on driving business impact
• A minimum of 2 years leading or managing data science teams
• Proven record of successful data driven product delivery (ideally in a serverless / cloud way)
• Experience in developing in AWS environments (Cloud9, SageMaker)
• Experience in AWS serverless solutions (CloudFormation pipelines, lambas, step functions)
• Excellent programming skills using SQL & Python
• Strong understanding of advanced modeling techniques, such as machine learning & nonparametric approaches.
• Experience solving analytical problems using quantitative approaches
• Experience working with GitHub
• Experience in the specific field that the candidate will oversee (a strong asset)
• Understanding of data products, from design up to their deployment (an asset)
• E-commerce experience and knowledge (an asset)
• Understanding of web analytics (an asset)
• Excellent verbal and written communication skills

SKILLS

• Highly analytical and detail oriented
• Capacity to synthesize, simplify and present complex information to technical; and business stakeholders at various levels of the organization
• Strong time management and problem solving skills
• Strong ability to present, synthesize and influence change across multiple departments
• Proven ability to consistently perform independently and as part of a team
• Ability to thrive in a fast-paced, performance-driven environment
• Ability to grasp interrelations, dependencies and assess quickly impact on complex systems
• Team player with solid interpersonal skills

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.

Read more about us on our SSENSE Tech Blog.