Master Thesis Data Science - Web & Commerce Analytics (f/m/x)

Master Thesis Data Science - Web & Commerce Analytics (f/m/x)

SOME IT WORKS. SOME CHANGES WHAT'S POSSIBLE.

SHARE YOUR PASSION.

More than 90% of automotive innovations are based on electronics and software. That's why creative freedom and lateral thinking are so important in the pursuit of truly novel solutions. Our experts will treat you as part of the team from day one, encouraging you to bring your own ideas to the table – and giving you the opportunity to really show what you can do.

We, the BMW Group, offer you an interesting and varied Master thesis in the area of Data Science - Web & Commerce Analytics. To take our operations to the next level, the BMW GROUP's - Web & Commerce Analytics department is looking for a Data Science Master student to empower BMW's Websites and E-Commerce platforms.

What awaits you?

• In your new role, you will be part of a network of analysts who support cross-functional agile product teams designing, developing, operating, and optimizing products with data, tools, and analytics.
• For the Master Thesis, you will work on an exciting project at the intersection of Machine learning and Web & Commerce business context. The goal of this research will be to develop MLOps routine for our real-time visitor's scoring and segmentation algorithms.
• You will develop advanced algorithms to standardize and automatize the process of training and deployment of our machine learning models to ensure high business impact. This includes anomaly detection, monitoring, and validity checks.

What should you bring along?

• Currently enrolled full-time in an undergraduate or graduate program at an accredited college or university studying Computer Science, Statistics, Informatics, Data Science (Master's Degree preferred), or similar programs or in a Gap Year.
• Proven experience as a Data Scientist, Machine Learning Engineer, or similar role.
• Strong mathematical and statistical skills, with the ability to analyze, interpret, and handle complex and large data sets (millions of rows).
• Knowledge of programming languages (i.e., Python, SQL, PySpark) and frameworks such as Scikit-Learn, TensorFlow, and PyTorch.
• Knowledge of Cloud-Architecture and Data Engineering systems (i.e., AWS, Palantir Foundry, Spark) and ML Ops Frameworks (i.e., MLFlow, Airflow) is beneficial.
• Experience in E-Commerce platforms such as Google & Adobe Analytics is a plus.
• Note: Please include your GitHub Account in your CV if you have one.

Please note that your thesis must be supervised by a university on your part.

What do we offer?

• Digital offers & mobile working.
• Attractive remuneration.
• Apartment offers for students (subject to availability & only Munich).

You are enthused by new technologies and an innovative environment? Apply now!

At the BMW Group, we see diversity and inclusion in all its dimensions as a strength for our teams. Equal opportunities are a particular concern for us, and the equal treatment of applicants and employees is a fundamental principle of our corporate policy. Our recruiting decisions are based on personality, experience, and skills.

Contact:
BMW Group HR Team
+49 89 382-17001