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Aschheim, Bayern, Deutschland
Hybrid
LuxExperience is the leading digital, multi-brand luxury group and the online shopping destination for luxury enthusiasts worldwide.
LuxExperience operates a portfolio of some of the most distinguished store brands in digital luxury and creates communities for luxury enthusiasts with unique digital and physical experiences.
Mytheresa, NET-A-PORTER and MR PORTER, jointly comprising the luxury segments of LuxExperience, offer highly curated edits of the most prestigious luxury brands across the world, featuring womenswear, menswear, kidswear, fine jewelry & watches, and lifestyle products. YOOX, which forms the off-price segment of LuxExperience, is the leading destination for multi-brand off-season online luxury shopping. The NYSE listed group operates worldwide.
LuxExperience is now seeking a talented Data Scientist to join the Team.
WHAT YOU WILL DO
As a Data Scientist at LuxExperience Group, you will be working with commercial and marketing business stakeholders to provide smart data automations and support their decision-making.
Train, deploy and monitor machine learning, recommendation and Generative AI models in production.
Work alongside software developers in building applications to service your data and models
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.
WHO YOU ARE
Bachelor’s or Master’s degree in Math, Statistics, Computer Science or similar
4+ years of professional experience (at least 5+ models in production delivering consistent business value)
Working knowledge of Databricks & MLflow, LLM frameworks (e.g., LangChain or LlamaIndex), and Vector databases and embedding models
Expert level in Python, SQL, and working knowledge of PySpark, GIT & CICD and Object-Oriented Programming
Experienced with Atlassian suite (Jira, Bitbucket, and Confluence) and PyCharm or Visual Studio
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, and clustering algorithms.
WHAT WE OFFER
30% staff discount on mytheresa.com
Discounted travel card (public transportation)
Gym membership discount
Fresh fruit every afternoon and coffee flat-rate
Discounted lunch options
Pension contributions in Germany
28 days of holiday p.a.
Mobile office with up to 20% of your total contracted hours (job and position permitting)
Corporate benefits platform
E-learning platform/language classes
10 days/year of mobile office abroad in EU countries (job and position permitting)