Job description
YOOX NET-A-PORTER GROUP is the world leader in online luxury and fashion which comprises a complete luxury retail ecosystem. The Group sells directly to customers globally through its own family of multi-brand online shops NET-A-PORTER, MR PORTER, YOOX and THE OUTNET. The Group’s Online Flagship Stores Division partners with many leading luxury brands to power their own e-commerce destinations.
The Group has 4.3 million high-spending active customers globally. As pioneers in bringing together the realms of technology and luxury, YOOX NET-A-PORTER satisfies the most discerning clientele with expertly curated products from the world’s most coveted brands, personalized end-to-end service, the latest technology, and inspiring content, all shaped by 20 years of insights into the modern shopper.
To further develop digital capabilities and create synergies, YOOX NET-A-PORTER GROUP has created new departments as Centres of Excellence.
One of them, the Growth Department, is responsible for driving new and existing customer growth encompassing all Digital Marketing and CRM actions at the service of our stores.
The YOOX NET-A-PORTER GROUP’s data is unparalleled across the luxury fashion industry, from transactions, to web-traffic, to customer feedback and survey response. Our Data Science team is tasked with utilising this unique resource to enhance the business’s ability to anticipate and meet our customer’s needs.
The YOOX NET-A-PORTER Group are interested in speaking with any Data Scientist / Senior Data Scientist. If you are passionate, committed and thrive in a collaborative and fast-paced environment then we would love to discuss various opportunities further with you.
Some of the essentials for you to know are:
Location: Our Westfield office in London
Work type: Hybrid
Besides a competitive salary, we can offer you:
- Performance bonus schemes dependant on the type of role you are in
- A pension that both you and the company contribute too
- A portal with an array of discounts on things like theme park and cinema tickets
- Our famous staff discount along with exclusive staff sales
- Private healthcare for you and your family
- Flexible working
- A chance to be part of a fun and caring team that support each other
Here's a breakdown of what you'll be doing:
- Train, deploy and monitor Machine Learning models
- You will build a customer churn, customer lifetime value, customer profiling (clustering) models and will build an automated product based marketing attribution model
- Build production grade code
- Work with stakeholders throughout the business to encourage a data-driven approach through the delivery of automated data products and accessible, actionable insight.
- Identify opportunities to improve the efficiency of the Data Science team through improved work practices and the development of data assets.
Data Science Technical and Project Management Landscape:
- Amazon Web Service (SageMaker).
- Jenkins.
- Atlassian suite (Jira, Bitbucket and Confluence).
- Python, PySaprk, SQL, Airflow.
- PyCharm.
Note: The team is currently going through a transformation and a hypergrowth phase. The tech stack will evolve to include more services from AWS tech suite.
The type of person we're looking for:
- Bachelor’s or Master’s degree in Maths, Statistics, Computer Science or similar.
- 2+ years of professional experience.
- Online Retail or Online Market Place experience is preferred.
- Experience working using Agile principals and methodology.
- Experience working with CRM, SEO and paid media marketing teams
- Expert level in Python, SQL.
- Working knowledge of PySpark.
- Practical experience with Git.
- Practical CICD experience (Jenkins, Azure DevOps, TeamCity or Similar).
- Exposure to Docker and Kubernetes is a plus.
- Practical experience using Object Oriented Programming.
- Strong foundation in key topics of statistics including sample selection, probability, hypothesis testing and linear regression.
- Strong understanding of key machine learning algorithms including logistic regression, decision trees, random forests or clustering algorithms.
- Proven track record of applying machine learning algorithms to solve commercial problems.
- Exposure to graph technology is a plus but not mandatory.
- Strong business acumen.
- Able to work proactively to solve loosely defined problems.
- Comfortable communicating with a non-technical audience.
- Able to demonstrate resilience when face with challenges.
- Able to work in cross functional teams (marketing, tech, merchandising or other).
From the moment you join the YOOX NET-A-PORTER GROUP we are committed to making your journey with us inspirational and evolutionary. If you are passionate, committed and thrive in a collaborative and fast-paced environment, then please apply with a CV.
YOOX NET-A-PORTER GROUP is an equal opportunities employer, we encourage people with a diverse range of backgrounds to apply. We recognize and celebrate the benefits that diversity brings to our workplace, our business and our customers. We welcome and will consider all applications regardless of race and nationality, religion, color, sex, pregnancy or related medical conditions, parental status, sexual orientation, gender identity, gender expression, age, status as an individual with a disability, or any other legally protected characteristics.
If you require any reasonable adjustments to complete your application, please do not hesitate to advise us accordingly.
Experience Level: Mid-Senior level
Workplace Type: HybridYOOX NET-A-PORTER GROUP
www.ynap.com
Milan, Italy
Geoffroy Lefebvre
Unknown / Non-Applicable
1001 to 5000 Employees
Company - Public
Internet & Web Services
2000