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Data Science
3 months ago
Key Responsibilities
Mine and analyze data from various sources to drive optimization and improvement in products, and business operations Evaluate the effectiveness and accuracy of new data sources and data gathering techniques Collaborate with cross-functional teams to implement models and monitor outcomes Maintain processes and tools to monitor and analyze model performance and data accuracy Perform statistical analysis, identify data anomalies, and summarize data insights Build and analyze dashboards and reports using data visualization tools and Excel pivots Develop predictive solutions using Python and machine learning techniques Prepare and deliver presentations based on data analysis results using PowerPoint and Excel Communicate findings effectively to internal stakeholders
Key Requirements
Pursuing or recently completed a degree in a relevant field (e.g., Data Science, Statistics, Economics, Computer Science) Strong proficiency in Python for data analysis and modeling Advanced knowledge of Excel (VBA, Power Query) and Power BI Demonstrated problem-solving abilities and a passion for working with big data Strong communication and data presentation skills Fluent in written and spoken English All Dun & Bradstreet job postings can be found at and . Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever. Your use of this page is subject to Lever's and , which governs the processing of visitor data on this platform.