Senior Data Scientist
2 weeks ago
We are seeking a Senior Data Scientist to join a newly formed team focused on building a prototype process to unify fragmented data sources into a comprehensive 360-degree customer view. This initiative aims to drive commercial clarity, execution, and momentum. The ideal candidate will have expert-level experience in Azure Fabric, PySpark, Natural Language Processing (NLP), customer matching algorithms, and data warehousing ETL processes. Key ResponsibilitiesLead the development of machine learning models for customer data harmonization and fuzzy matching logic.
Cleanse and prepare key data sources for integration and analysis. Build and refine customer hierarchy structures and relationships. Implement human-in-the-loop processes to enhance data accuracy and model performance. Develop and maintain reliable daily data processing pipelines.
Amplify insights through expanded data sources and agile analytics. Collaborate with cross-functional teams to align strategy and resources. Utilize Power BI for data visualization and reporting. Contribute to the design and execution of scalable, cloud-native data solutions.
Required QualificationsBachelor’s or Master’s degree in Data Science, Computer Science, or a related field.8+ years of experience in data science or analytics roles. Expert-level proficiency in Azure FabricPySparkNatural Language Processing (NLP), including LLMs and prompt engineeringCustomer matching algorithmsData warehousing and ETL processesStrong understanding of AI/ML frameworks and orchestration tools.
Experience
working in fast-paced, global, and complex environments. Preferred QualificationsExperience with Power BI Desktop projects. Familiarity with enterprise data strategy and customer data platforms. Background in medical device or healthcare industries is a plus. #J-18808-Ljbffr
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