Expert Data Science (m/f/d)
Our digital teams are very diverse: We take care of things like programming, product development, product design (UX/UI), and web analysis. Everyone is pursuing a common goal: to create digital contact points between HSE and customers again and again with the latest technologies. Are you in?
HSE is one of Europe’s leading live commerce providers. Whether via its three TV channels, online shop, award-winning HSE app, or social commerce channels – HSE customers decide when and where they want to shop. HSE stands for the most entertaining form of shopping and inspires 1,2 million active customers who appreciate its curated range of fashion, jewelry, beauty, wellness, household, and home & living products.
The company reaches 45 million households in Germany, Austria, and Switzerland via its three TV channels (HSE, HSE Extra, and HSE Trend). Around 800 employees ensure an inspiring and customer-oriented shopping experience. Through its business partners, HSE also creates over 1,700 additional jobs in the areas of logistics, call centers, and tech development.
HSE has received multiple awards for its outstanding service quality. Since 2012, the company has been majority-owned by the investment firm Providence Equity Partners.
Further information is available at corporate.hse.com and www.hse.com.
What you can expect:
- You develop innovative Predictive Models and Customer Behavior Analytics to optimize the Customer Journey in our dynamic E-Commerce and TV-Shopping environment
- You work with cutting-edge Machine Learning algorithms in Python and R, conduct Statistical Analysis, and create Feature Engineering for complex customer data models
- You implement A/B Testing frameworks, Causal Inference methods, and Statistical Modeling to validate Business Impact and customer behavior patterns
- You optimize Customer Analytics for LTV enhancement, Retention improvement, and Conversion maximization through advanced Data Science techniques
- You create predictive, inferential, and prescriptive models based on diagnostic modelling insights to explain and forecast customer behavior and business outcomes.
- You translate model outputs into measurable business actions in close collaboration with Marketing and Product teams.
- You collaborate closely with Engineering teams to integrate Predictive Analytics models into productive Business Intelligence systems and develop scalable data-driven solutions
Requirements
- You have a successfully completed degree in Data Science, Statistics, Computer Science, Business Informatics, or comparable quantitative education with strong Machine Learning focus
- You bring solid experience in Statistical Analysis with Python or R and Supervised and Unsupervised Learning techniques for Customer Behavior Predictive Modeling
- You possess practical expertise in Feature Engineering, Model Evaluation, Performance Validation, and know modern Machine Learning libraries like scikit-learn, pandas, and statsmodels
- You have proven experience in productive machine learning models scenarios, Customer Analytics, and Data-driven Decision Making, ideally in E-Commerce or retail environments
- You demonstrate strong analytical thinking for Customer Intelligence, Retention Analytics, and LTV Optimization as well as experience with Experimentation frameworks
- You speak fluent English and ideally German, work solution-oriented in agile Data Science teams, and enjoy translating complex Statistical Analysis into measurable Business Impact
These are your benefits
We want your ideas: We offer you an exciting platform to experience TV and digital and to help shape the future of home shopping!
We offer fair working conditions and exciting development opportunities.
Work-life balance
With us you can have the perfect work-life balance – from home office, to flexible working hours or sabbaticals.
Benefits & compensation
We offer much more than just an attractive salary – such as allowances or bonuses.
Corporate culture
Our corporate culture is based on trust and appreciation – we are a team.
Further education & training
In addition to extensive orientation training, we offer several further education and training courses.
Your contact person
Stay curious. It’s one of the few things you can do forever.
Hannah Flohr , Your Recruiter
is looking forward to your message at
jobs@hse.com.
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Everything you need to know about applying with us
Where we work
Ismaning is located on the outskirts of Munich between the Bavarian capital and the airport. The HSE campus is 13 kilometers from the city center of Munich and is easy to reach by all means of transportation. The suburban train (S8) takes you from Ismaning to Munich’s Marienplatz in 23 minutes, or the airport terminal in just 15 minutes. There are also bus connections to the Studentenstadt (U6) and Arabellaparl (U4) subway station. Our campus offers everything you need: a cafeteria, roof terraces, various lawns, and green areas for a stroll during lunch, as well as plenty of free parking.
Home Shopping Europe GmbH
https://www.hse24.de/
http://www.hse24.com/media/layout/css_datei/css_images/hse24_logo~1.jpg?cid=3
2026-06-16
FULL_TIME
2026-06-16
Münchner Str. 101h
Ismaning
Bayern
85737
DE
DE
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