Staff Analyst, Advanced Ai

7 months ago

Montréal, Canada SSENSE Full time

**Company Description**
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 at SSENSE. 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.

**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.
- Experience developing and deploying AI products on the cloud, preferably on AWS. Experience with Sagemaker.
- Experience championing projects end-to-end, mobilizing multidisciplinary teams, and leading projects to completion.
- Strong programming skills: Python and SQL.

**What Sets You Apart**:

- Strong product mindset.
- Strategic thinking. Ability to shape the team's technical vision and think long term.
- Great communication skills; ability to present information to different audiences.
- Rigorous and well organized.

**Additional Information** Perks And Benefits**:

- Extended health and dental benefits, including comprehensive mental health programs and coverage
- Parental top up program
- Generous Employee Discount
- Access to telemedicine and employee and family assistance program
- Savings and retirement plan matching contributions
- Gender Affirmation Coverage
- Opportunity to work with cutting edge technologies and an innovative team that’s pushing the boundaries of technology
- SSENSE is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. If you need special accommodations, let us know. We will do our best to accommodate you_

Hybrid remote/in-office

LI-Hybrid

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