Expert Data Science (m/f/d), Ismaning (Data Warehouse Analyst)

Expert Data Science (m/f/d)

We are a leading provider in Europe in the field of Live Commerce and, as a media platform, offer the most entertaining form of shopping. With our curated product range in the areas of Fashion, Jewelry, Beauty, Wellness, Household, and Home & Living, we inspire a large number of viewers, fans, and followers every day across all channels: on TV, in the online shop, and on social media. Through the networked staging of lifestyle topics and brand worlds, we are innovation drivers for cross-channel shopping entertainment. Customers decide when and where they shop at HSE.

What to expect:

You will develop innovative Predictive Models and Customer Behavior Analytics to optimize the Customer Journey in our dynamic E-Commerce and TV shopping environment. You will work with modern Machine Learning algorithms in Python and R, perform statistical analyses, and create Feature Engineering for complex customer data models. You will implement A/B testing frameworks, Causal Inference methods, and statistical models to validate business impact and patterns in customer behavior. You will optimize Customer Analytics to increase Customer Lifetime Value, improve retention, and maximize conversion through advanced Data Science methods. You will create predictive, inferential, and prescriptive models based on diagnostic modeling approaches to explain and predict customer behavior and business results. You will translate model outputs into measurable business actions, working closely with marketing and product teams. You will work closely with engineering teams to integrate predictive analytics models into productive Business Intelligence systems and develop scalable, data-driven solutions.

What you bring:

• You have a successfully completed degree in Data Science, Statistics, Computer Science, Business Informatics, or a comparable quantitative education with a strong Machine Learning focus.
• You bring sound 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 possess 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 have demonstrable experience with productive 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.
• 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.

We look forward to your application.