Data Science and Analytics Engineer
4 weeks ago
Job Summary:
Insperity is seeking a highly skilled Data Science and Analytics Engineer to join our team. As a key member of our Enterprise Data Engineering scrum team, you will design, develop, and implement data science and analytics platforms and technologies, as well as machine learning models or algorithms. Your expertise in clustering, decision tree learning, artificial neural networks, and other machine learning techniques will be essential in validating and updating data processing algorithms and platforms to meet the needs of advanced data science and analytics.
Key Responsibilities:
• Develop and manage data sets for use in training and testing of data science algorithms
• Design and build innovative analytics models to solve identified business problems using statistical computer languages (Python, R, or C#/.NET) and various ML/AI libraries (e.g. pandas or ML.NET)
• Work closely with stakeholders, Enterprise Data Engineers, and other ITS teams to ensure conclusions and trends are easily viewed, interpreted, and understood using knowledge of advanced statistical techniques and concepts
• Travel to conferences and seminars as needed
Requirements:
• Master's degree in Data Science, Computer Science, Statistics, or related field
• 12 months of experience with computer information systems and data science and machine learning, including 6 months developing, managing, and maintaining enterprise software, 6 months using statistical computer languages, and 6 months using ML/AI libraries
• Alternate education and experience requirements available upon request
Travel Requirement:
Up to 10% domestic travel for conferences and seminars
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