Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Munich
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop predictive models and analyze customer behavior to optimize the customer journey in e-commerce and maximize business impact through data analysis.
Job Technologies
Your role in the team
- 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 modern machine learning algorithms in Python and R, perform statistical analyses, and create feature engineering for complex customer data models.
- You implement A/B testing frameworks, causal inference methods, and statistical models to validate business impact and patterns in customer behavior.
- You optimize Customer Analytics to increase Customer Lifetime Value, improve retention, and maximize conversion through advanced data science methods.
- You develop predictive, inferential, and prescriptive models based on diagnostic modeling approaches to explain and forecast customer behavior and business outcomes.
- You translate model outputs into measurable business actions and work closely with marketing and product teams.
- You work closely with engineering teams to integrate predictive analytics models into production business intelligence systems and develop scalable, data-driven solutions.
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Our expectations of you
Education
- You have successfully completed a degree in Data Science, Statistics, Computer Science, Business Informatics, or a comparable quantitative qualification with a strong focus on Machine Learning.
Qualifications
- You have practical expertise in feature engineering, model evaluation, performance validation, and are familiar with modern machine learning libraries such as scikit-learn, pandas, and statsmodels.
- You speak fluent English and ideally German, work solution-oriented in agile Data Science teams, and enjoy translating complex statistical analyses into measurable business impact.
Experience
- You bring extensive experience in statistical analysis with Python or R, as well as in supervised and unsupervised learning methods for predictive modeling in the field of customer behavior.
- You have proven experience with production-ready Machine Learning models, Customer Analytics, and data-driven decision-making, ideally in an e-commerce or retail environment.
- You demonstrate strong analytical thinking in the areas of Customer Intelligence, Retention Analytics, and LTV Optimization, as well as experience with Experimentation Frameworks.
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What we offer
- 30 days of vacation
- Company pension scheme and accident insurance
- Corporate Benefits
- Flexible working hours
- Canteen subsidy for the cafeteria on campus
- Mobile Office option
- Shopping voucher: 50 euros on top or alternatively EGYM Wellpass plus own contribution
- Summer Party and Christmas Celebration
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Benefits
More net
Food & Drink
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Home Shopping Europe GmbH
Unsere Teams im Bereich Marketing, E-Commerce und Creative sind sehr vielseitig aufgestellt: Wir kümmern uns um Online-Marketing, Kampagnenmanagement, Performance Marketing und UX genauso wie ums Corporate Design oder um Grafik. Alle verfolgen dabei ein gemeinsames Ziel: Mit unseren Ideen HSE24 ein Gesicht zu geben und unseren Kunden jeden Tag aufs Neue einen Shopping-Kick zu bieten.
Description
- Founding year
- 1995
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Consumer Goods, Branded Goods
Expert Data Science
- Location
- Munich
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
