The role – what you’ll do Barr is seeking a senior water resources consultant with a focus on mine water management to join our team as a mine water practice lead. In this hybrid role, you
Senior Consultant Package and Technology Enablement | Package Functional Transformation Minneapolis, Minnesota, United States Position Summary Deloitte Consulting LLP seeks a Senior Consultant in Minneapolis, Minnesota. Work You’ll Do Drive software advisory and implementation services to
The role - what youll do Barr is seeking an electrical engineer to join our team in Minneapolis, Minnesota. In this hybrid role, you will support the electrical group, working as part of multidisciplinary project teams
About Our Company We’re a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. Our team of 22,000 people across 19 countries, serves more than
The pay range is $88,000.00 - $158,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to
The role — what you’ll do Barr is seeking a water/wastewater engineer to join our innovative and collaborative team. In this hybrid role, you will work as part of multidisciplinary project teams providing industrial and municipal
The pay range is $95,000.00 - $171,000.00 Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to
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 with
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 with