Job Title Plans and schedules the work of employees performing mechanical maintenance and repairs to plant production machinery on all shifts. Directs the details of work performed, safety procedures, etc., on the day shift and provides
Office Manager Position Objective: The Office Manager serves as administrative support for the Juvenile Services Center division. This includes the supervision of other administrative support staff as assigned. The Office Manager is expected to be well-versed
Payment Operations Specialist Corporate Office - Rapid City, SD 57702 Category Banking Job Description Who We Are We have the fundamental belief that we, as an organization, can and will improve lives. Rooted in the centuries-old
Office Manager The Office Manager serves as administrative support for the Juvenile Services Center division. This includes the supervision of other administrative support staff as assigned. The Office Manager is expected to be well-versed in day-to-day
Staff Appraiser The role of the Staff Appraiser within the office of the Director of Equalization is to gather property data and assist with the assessment of real property for property tax purposes. Essential Functions: Identify
Essential Duties and Responsibilities: - Perform competitive cost analysis and price to win estimates for strategic and highly visible proposal efforts. - Work as an integral part of the capture and proposal team, assisting in the
Essential Duties and Responsibilities: - Supervise the activities and personnel associated with providing technical services to customers by identifying, prioritizing, and confirming resolution of reported problems with desktops, laptops, and networked systems. - Ensure that all
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side
Essential Duties and Responsibilities: - Perform hands-on data analysis and modeling with huge data sets. - Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms. - Work side-by-side