Stephanie Seiermann is a Lead Data Scientist specializing in Supply Chain Data & Analytics at Mars since 2024. With over 10 years of experience, Stephanie has managed and delivered large-scale analytical and machine learning solutions across marketing, telecommunications, and retail sectors. They have a proven track record in executing Data Science projects end-to-end, demonstrating expertise in both supervised and unsupervised machine learning algorithms and a solid technical skillset that includes SQL, SAS, and Python. Prior to their current role, Stephanie held positions at NorCom Information Technology GmbH & Co. KGaA, BJSS, and Symphony Retail AI, among others, showcasing effective communication and strong organizational skills throughout their career. Stephanie earned both a Master of Science and a Bachelor of Science in Finance & Information Management from the Technical University of Munich.
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