Overview
Analyst, Advanced AI Jobs in Toronto – Ontario at SSENSE
Title: Analyst, Advanced AI
Company: SSENSE
Location: Toronto – Ontario
Category: IT/Tech, Software Development
Position: Staff Analyst, Advanced AI ON)
SSENSE 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, with approximately 70% of its audience between the ages of 18 to 40.
Job Description
About The Team:
As a Staff Analyst, Advanced AI, you will work on
challenging
problems specific to the fashion ecommerce ecosystem.
You will
develop AI products (e.g recommender system, pricing engine, etc.) in
collaboration
with
multidisciplinary
product teams.
You will
collaborate with architects on designing sustainable AI solutions.
As one of the most technically sound team members, your mission will include defining best practices and coaching team members to drive up excellence of advanced analytics and machine learning 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 ally, your AI expertise will contribute to
innovation
keeping up with cutting edge AI technologies, you will identify novel approaches to improve performances of existing data products and pitch for new applications.
Why Join Us:
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.
Define best practices. Share your expertise in terms of technical best practices. Make sure everyone in the team understands them, finds value in them and follows them. Write didactic documentation and design frameworks to support the team in adopting those 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. Build an exhaustive understanding of your product area and its business impact. 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
.
Stay up to speed with the latest developments in AI. Identify novel approaches that could bring value to existing and future data products. Share learnings with the rest of the team.
Qualifications How To Excel In This
Role:
Master’s degree in Computer Science, Mathematics, or a related scientific field.
A minimum of 7 years experience developing AI applications in the Ecommerce industry.
Experience developing and deploying …
