Data Scientist at Premise managing data transformation and generating business insights. Utilizing large data sets and modeling for CPG industry solutions in a hybrid role.
Responsibilities
Manage, coordinate, and run the operations and processes of our Market Measurement solution from data cleaning, QC, to the final calculation of the different performance metrics and market share for the different reported categories.
Integrate and manage data from various sources using APIs and cutting-edge tools.
Perform ongoing analysis of data to uncover quality and consistency issues
Track, report and manage KPIs for the different processes
Lead the team in charge of the Models & Methodologies processes for the Market Measurement solution.
Design, and build models and algorithms to enhance data collection methods, quality control processes, clustering and segmentation exercises and data transformation and expansion techniques.
Effectively communicate analysis results and ensure they translate into concrete and successful actions in the market.
Requirements
BA/BS degree in Applied Mathematics, Applied Statistics, Econometrics, Data Science, Computational Mathematics or a related technical field—or equivalent practical experience
3+ years of hands-on demonstrable experience managing and running data transformation and reporting processes, ideally for the CPG industry
Programming experience and fluency in Python and BigQuery for data analysis, statistical modeling, and automation
Functional mastery of English (fluency preferred)
Strong communication skills for both technical and non-technical audiences
Relentless drive to listen, learn, and improve the world around you
Enjoys bringing order to complexity by structuring and optimizing analytics tasks and requests
Proactive about documenting and sharing your work to enable team collaboration and growth
Duales Studium in Data Science und Künstliche Intelligenz mit Bachelorabschluss (DHBW Mannheim). Fokus auf Digitalisierung, Prozessoptimierung und KI - gestützte Modelle.
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