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Senior Data Scientist – Recommendation
SSENSE
Remote
Luxury Fashion, Luxury Menswear
Full time
Posted 4 weeks ago
Copied
Market: ON - Toronto
Industry Segment: Luxury Fashion, Luxury Menswear
Category: Data and Analytics
Seniority: Associate
Job Type: Full time
Remote? Fully Remote

Marketplace Role

As a service to our candidates we present 1000’s of luxury industry roles as part of our Marketplace offering. For these jobs you will be forwarded to the brand to apply directly.

Job Description

Job Description

Existing since 2017, data science’s mandate is to supercharge the organization and drive material value from data. We have many hats but we focus our work on building decision taking and decision support algorithms and tools. We operate with a fast but uncompromising mindset and bring our expert outsiders knowledge to challenge the status quo and drive innovation. We lead change in mindsets & processes as entrepreneurial collaborators with our many stakeholders as our roles and responsibilities are far reaching within the organization, including but not limited to:

  • Buying intelligence
  • Recommendation systems & customer insights
  • Performance marketing
  • Pricing strategies
  • Network planning & intelligence

We develop custom solutions adapted to specific business knowledge and strive to be ahead but in sight of everyone. We are technical, we are business owners & we are solution finders.

In Recommendation, the candidate will be working with fellow data scientists and internal partners on extracting value from granular customer data to understand the customer experience across the shopping journey.

The candidate will participate in driving impact through building customer analytics solutions; behavioral predictive models; recommendation & personalization algorithms and more.

Responsibilities

Data support (10%)

  • Translate complex analytical results into actionable business initiatives
  • Develop a deep understanding of the business, its data, and its patterns
  • Extract data from multiple sources to uncover opportunities or detect issues
  • Contributes actively to the design of novel solutions to generate value from data

Project delivery (50%)

  • Develop a deep understanding of a specific business area & challenges the roadmap
  • Solve unstructured problems while exhibiting independence and work ownership
  • Work in collaboration with different teams to refine initial concepts and prototypes that can be presented to stakeholders for feedback
  • Research, develop and deploy data models and systems to various stakeholders under multiple projects to clearly communicate, elucidating patterns and generating actionable insights and tools
  • Partner with strategic business stakeholders to provide evidence-based guidance
  • Maintain & support data science solutions & projects
  • Delivers & support decision making and decision support systems
  • Review & contribute to technical documentation

Ownership and accountability (20%)

 

  • Be accountable for code quality
  • Measure accuracy & performance of developed models & solutions
  • Monitor deployed decision making and decision support systems
  • Knowledge sharing and coaching (10%)
  • Contribute to data mining architecture, modeling standards and data analysis methodologies
  • Coach more junior data scientists on best practices and machine learning solution designArchitecture (10%)
  • Identify dependencies & impacts between systems
  • Develop and continuously improve processes, tools, and techniques

Qualifications

  • Master’s degree in Engineering, Computer Science, Mathematics, Statistics, or a related field [PhD, an asset]
  • A minimum of 3 years experience in analytics and data science with a focus on driving business impact
  • Strong understanding of advanced modeling techniques, such as machine learning, nonparametric approaches and neural networks
  • Understanding (experience as asset) of data products, from design up to their deployment
  • Experience in building end-to-end data science solutions
  • Excellent programming skills using Sql, Python
  • Experience working with GitHub
  • Experience with data manipulation technologies and knowledge of programming languages
  • Extensive experience solving analytical problems using quantitative approaches
  • Experience working with Aws cloud solutions, an asset
  • e-commerce experience, an asset
  • Understanding of web analytics, an asset

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
  • Ability to design and present complex data sets in a variety of visually compelling formats
  • Ability to thrive in a fast-paced, performance-driven environment
  • Ability to grasp interrelation, dependencies and assess quickly impact in complex systems
  • Solution-oriented mindset and can-do attitude to overcome challenges
  • Team player with solid interpersonal skills
  • Stay abreast of emerging tools and technologies

Additional Information

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.

About SSENSE

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.

Senior Data Scientist – Recommendation
SSENSE
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SSENSE

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