Expert Data Science (m/f/d)

HSE - Home Shopping Europe GmbH; Ismaning; On-site; EUR 70,000 - 100,000; Full time

Job summary

HSE - Home Shopping Europe GmbH is seeking a data scientist to develop predictive models for live commerce across our TV and online platforms. You will leverage supervised and unsupervised learning, feature engineering, and modern ML libraries to forecast customer behavior and business outcomes.

You will collaborate with Marketing, Product, and Engineering to translate insights into actionable decisions and deploy scalable, data-driven solutions within our BI ecosystem.

Qualifications

• Degree in Data Science, Statistics, Computer Science, or comparable quantitative field with ML focus.
• Strong experience in Statistical Analysis with Python or R.
• Practical expertise in Feature Engineering, Model Evaluation, and Validation.
• Experience in data-driven decision making, preferably in E‑Commerce or retail.

Responsibilities

• Develop predictive models in our dynamic E‑Commerce and TV‑Shopping environment.
• Work with ML algorithms in Python and R; conduct statistical analysis and feature engineering.
• Implement A/B testing, causal inference, and statistical modeling to validate business impact.
• Translate model outputs into measurable actions with Marketing and Product teams.
• Collaborate with Engineering to deploy models in BI systems and scalable data solutions.

Skills

Python

R

Statistics

ML Modeling

A/B Testing

Experimentation

Data Visualization

SQL

Education

Master's in Data Science / Statistics / CS

Tools

scikit-learn

pandas

statsmodels

Job description

We are one of Europe’s leading providers of live commerce, offering the most entertaining shopping experience through our media platform.

With our curated product portfolio spanning fashion, jewelry, beauty, wellness, household essentials, and home & living, we inspire and engage a wide audience of viewers, fans, and followers every day across all channels: on TV, in our online shop, and on social media.

By seamlessly connecting lifestyle themes and brand experiences across multiple platforms, we drive innovation in cross-channel shopping entertainment.

At HSE, our customers decide when and where they want to shop.

You can expect:

• You develop innovative Predictive Models 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 our live machine learning models
• You implement A/B Testing frameworks, Causal Inference methods, and Statistical Modeling to validate Business Impact and customer behavior patterns
• 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

Your profile:

• 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 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 and Data-driven Decision Making, ideally in E-Commerce or retail environments
• You demonstrate strong analytical thinking for analysis and decision making process 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

Our Recruitment Process:

• Initial Call (30 min) – A conversation with the Hiring Manager to get to know you and discuss the role.
• Technical Session (90 min) – You'll present a use case to our Tech Team. Feel free to use AI tools during preparation; we’re evaluating your critical thinking and decision-making, not manual coding skills.
• On-site Meeting (90 min) – A chance to discuss our company values and work culture in person.