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Staff Analyst, Advanced AI
3 months ago
Headquartered in Montreal, it features a mix of established and emerging luxury brands across womenswear, menswear, kidswear, and Everything ElseTM.
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, with approximately 70% of its audience between the ages of 18 to 40.
As a Staff Analyst, Advanced AI, you will work on challenging problems specific to the fashion ecommerce ecosystem.In this context, you will collaborate with other data teams on defining and prioritizing requirements for the data platform in order to improve the efficiency of data products' development.
In a nutshell, you will assist the data leadership on shaping the technical vision of advanced analytics and machine learning at SSENSE.
By keeping up with cutting edge AI technologies, you will identify novel approaches to improve performances of existing data products and pitch for new applications.
Draft the technical roadmap.Collaborate with every team in the data organization at SSENSE to define technical requirements helping the data science team build data products efficiently.
Own the technical roadmap of the data science team and set milestones for the team to adopt new technologies developed on the data platform.
Share your expertise in terms of technical best practices. Develop new data products.Work in multidisciplinary teams (with engineers, product managers, and business stakeholders) on designing new data products within a specific product area.
Contribute to the short to long term roadmap. Build projects end-to-end.Review technical decisions of all data science projects. Make sure the team is making the right technical decisions, respecting best practices defined by the team. Challenge technical and business assumptions, review edge cases, ensure sustainability.
Identify novel approaches that could bring value to existing and future data products. Master's degree in Computer Science, Mathematics, or a related scientific field.
Experience championing projects end-to-end, mobilizing multidisciplinary teams, and leading projects to completion.
Python and SQL.
Ability to shape the team's technical vision and think long term.
Extended health and dental benefits, including comprehensive mental health programs and coverage
Savings and retirement plan matching contributions
We celebrate diversity and are committed to creating an inclusive environment for all employees. Hybrid remote/in-office