Stage : Data Scientist / Data Analyst (H/F)

Sézane

Sézane, a pioneering French fashion brand, is seeking talented, experienced, and agile individuals who share a passion for continual improvement. The company values innovation, creativity, quality, and exceptional service. Sézane offers a dynamic work environment where roles and responsibilities evolve, promising a unique daily experience.

In this role you can expect to have the responsibilities:

• Work on Data Science and Machine Learning projects.
• Develop a Customer Lifetime Value (CLV) model for churn prevention, marketing campaign optimization, and revenue forecasting.
• Engage in data preprocessing to create a training base for models.
• Choose and compare statistical models (BG/NBD, Gamma/Gamma, etc.).
• Participate in the industrialization of models using Metaflow.
• Automate model retraining and monitoring processes.
• Conduct ad hoc studies based on specific business-oriented questions.
• Identify and manage implicit preferences in contact channels.
• Analyze the performance of various marketing initiatives.
• Enhance the 360° client view through the creation of business objects.

This role comes with the following benefits:

• Development and refinement of SQL and Python skills.
• Opportunity to work with an established data stack (AWS, Redshift, Metaflow, Git, etc.).
• Enhance business acumen and critical thinking on impactful, real-world problems.
• Thrive in a dynamic environment interacting with various departments (Tech, CRM, Marketing, Logistics, etc.).

This role requires you to have:

• Be a final year student in higher education (BAC + 5) specializing in Data Science.
• Proficiency in Python and SQL.
• Mastery of key statistical and machine learning methods.

You would benefit from having:

• Business acumen and a drive to understand and optimize client needs and internal processes.
• Data visualization skills.
• Organized, structured, and meticulous.
• Teamwork skills and initiative in a constructive environment.

Sézane values and recruits all talents regardless of gender, age, nationality, culture, religious beliefs, and sexual orientations.