Company Description We are Olsson. We engineer and design solutions that improve the world around us. As a company, we promise to always be responsive, transparent, and focused on results – for our people, our clients, and
Alternate Locations: Charlotte, NC (North Carolina); Fort Wayne, IN (Indiana); Omaha, NE (Nebraska); Radnor, PA (Pennsylvania) Work Arrangement: Hybrid : Employee will work 3 days a week in a Lincoln office Relocation assistance: is not available
BackOffice Associates, LLC d/b/a Syniti has multiple openings for the position of Consultant based out of its location in Omaha, NE. Job Duties: Deliver technology and business solutions to clients across multiple industries, including Financial Services,
Director, Total Rewards The Director, Total Rewards serves as a strategic leader responsible for the strategy, design, and development of total rewards. This includes leading the annual compensation review, managing effective base pay, developing variable and bonus
Essential Duties and Responsibilities: - Determines security requirements by assessing business strategies and requirements, researching information security standards, conducting system security and vulnerability analyses and risk assessments, studying architecture/platform, and identifying integration points and issues -
Essential Duties and Responsibilities - Serve as a subject matter expert and provide guidance on Information Security solutions, supporting other engineers in selection, integration, and optimization. - Lead or actively contribute to other information security projects
Essential Duties and Responsibilities: - Build and maintain knowledge base in SharePoint. - Build document management processes and procedures. - Assess knowledge base needs, inaccuracies, gaps; work quickly to resolve and make content current. - Work
Essential Duties and Responsibilities: - Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition. - Select crucial features, construct, and refine classifiers using
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