Senior Data Scientist

TLDR

Solve complex business problems using data science, contribute to personalization and pricing optimization, and shape data science practices while mentoring junior members.

About the Role:

We are looking for a highly motivated and impact-driven Senior Data Scientist to join our Data Science team. In this role, you will be responsible for solving complex, high-impact business problems using data science and machine learning, and building decision systems that directly influence customer experience and business outcomes.

You will work on ambiguous problems across the customer journey, partnering closely with product, engineering, and business teams to design, develop, and deploy data-driven solutions. This role requires strong ownership, the ability to translate business challenges into analytical frameworks, and a deep understanding of how to measure and drive business impact through experimentation. You will contribute to key areas such as personalization, pricing optimization and fraud detection, working closely with product, engineering, and business teams.

As a senior member of the team, you will also play a key role in shaping data science best practices, mentoring junior team members, and contributing to the long-term evolution of data science capabilities at SSENSE.

 

What You Will Do:

Business Impact & Data Support:

  • Translate complex analytical results into actionable business recommendations.

Project Delivery:

  • Own end-to-end development of data science solutions, from problem framing to production deployment and monitoring.  

Ownership and Accountability:

  • Own and Measure accuracy & performance of developed models & solutions.

Knowledge Sharing and Coaching :

  • Contribute to the evolution of data science standards, methodologies, and tooling within the organization.

Architecture:

  • Design scalable and maintainable data science solutions in collaboration with data engineering and ML platform teams.  
  • 4+ years of experience in Data Science or Analytics, with a track record of driving measurable business outcomes.
  • Strong understanding of advanced modeling techniques, such as machine learning, nonparametric approaches and neural networks.

  • Excellent programming skills using SQL, Python.

  • Extensive experience solving analytical problems using quantitative approaches.

  • Experience working on recommendation systems, pricing, search/ranking, or fraud problems, an asset.

  • Bilingualism (French & English) is required to communicate with our internal and external stakeholders. 

 

What Set You Apart:

  • Highly analytical and detail oriented.

  • Capacity to synthesize, simplify and present complex information to technical and business stakeholders at various levels of the organization.

  • Solution-oriented mindset and can-do attitude to overcome challenges.

  • Ability to operate in ambiguous environments and independently drive solutions.

Why Join Us:

  • 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!

#LI-Hybrid

Benefits

Health Insurance

Extended health and dental benefits, including comprehensive mental health programs and coverage.

Gender Affirmation Coverage

Paid Parental Leave

Parental top up program.

Paid Time Off

Generous Employee Discount.

SSENSE is a global technology platform that blends culture, community, and commerce, offering a curated selection of both established and emerging luxury brands across various categories. With an impressive average of 100 million monthly visits, it stands out not just as an e-commerce site, but also as a significant producer of cultural content.

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