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What exactly you will do here:

  • Design end-to-end data science solutions from business problem through data requirements, modelling approach, validation, deployment and business integration.
  • Build and deliver robust decisioning and predictive models ready for production use, including propensity, churn, customer value, segmentation, forecasting and next-best-action use cases.
  • Define features, target variables, model outputs and analytical datasets, working hands-on with Python and SQL and with Data Engineering where production data assets are required.
  • Validate model performance and business impact through robust statistical methods, experimentation and appropriate controls.
  • Operationalize models with Data Engineering and MLOps, integrate their outputs into CRM, campaigns and other business decision processes, and remain accountable for model performance once in use, driving recalibration where needed.
  • Act as the Data Science partner for a business line: understand its strategy and economics, identify high-value analytical opportunities, and translate results into concrete decisions and measurable value.

 

What we're looking for:

  • Master’s degree or PhD in Data Science, Statistics, Mathematics, Computer Science, Engineering or another highly quantitative field.
  • 7+ years of professional Data Science experience, with a strong track record designing and delivering end-to-end analytical solutions and models into production.
  • Advanced Python and SQL, with strong foundations in statistics, machine learning and experiment design and sound engineering practices including version control, testing and code documentation
  • Proven hands-on across the full model lifecycle: feature engineering, target definition, model validation, deployment, monitoring and recalibration.
  • Strong solution-design capability, translating complex business requirements into data, modeling and decisioning solutions that can be operationalized in business processes.
  • Hands-on experience in a modern cloud Data Science / ML environment, ideally Microsoft Fabric and Azure Machine Learning or equivalent.
  • Strong business partnering and stakeholder management skills.
  • Experience in customer / commercial analytics, CRM and decisioning or financial services, including exposure to model governance and explainability.

 

 

This is what you'll get:

  • 👍 Firstly, perhaps the most important thing: A positive working atmosphere. We’re really different. We’ve tried to make this tangible for you here.
  • 🌎 Our success has many faces: People from over 40 nations pull together here. This makes us diverse and international. This is also what our employees said in an anonymous survey – thank you for your engagement – we’re constantly improving.
  • 🏳 Trial and error: We not only appreciate it when you get involved and try something new, we actively encourage it. Mistakes can happen, it’s quite normal. We address them openly together and provide support to learn from them and develop further.
  • 🥳 After work: We can really let it rip sometimes. Our summer barbecues and Christmas parties are legendary. We really have a lot of fun here. But we don’t mistake it for “laissez-faire”. On the contrary: Enjoying what we do is what drives us to perform at our best.

➡ More about our benefits? Click here.

 

At Cembra, we still have a lot of plans. Will you help us with them?