Data Science - Professional 2

Dover is a diversified global manufacturer with annual revenue of over $8 billion. We deliver innovative equipment and components, specialty systems, consumable supplies, software and digital solutions, and support services through five operating segments: Engineered Products, Clean Energy & Fueling, Imaging & Identification, Pumps & Process Solutions and Climate & Sustainable Technologies. Dover combines global scale with operational agility to lead the markets we serve. Recognized for our entrepreneurial approach for over 60 years, our team of approximately 24,000 employees takes an ownership mindset, collaborating with customers to redefine what's possible. Headquartered in Downers Grove, Illinois, Dover trades on the New York Stock Exchange under "DOV." Additional information is available at dovercorporation.com.

Data Science work includes: Creating data mining architectures/models/protocols, statistical reporting, and data analysis methodologies to identify trends in large data sets. Analysis may be applied to various areas of the business (e.g., Market Economics, Supply Chain, Marketing/Advertising, Scientific Research, etc.). Researching and applying knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions. Applying and/or implementing Machine Learning (ML) or other Artificial Intelligence (AI) techniques to solve business problems and/or derive actionable business insights. At higher career levels, may conduct scientific research projects with the goal of breaking new ground in data analytics An Experienced Professional (P2) applies practical knowledge of job area typically obtained through advanced education and work experience. Responsibilities typically include: Works independently with general supervision.. Problems faced are difficult but typically not complex.. May influence others within the job area through explanation of facts, policies and practices.

All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other factors prohibited by law.

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