Career Team is a leading workforce development organization on a mission to transform lives. We blend cutting-edge technology with compassionate, high-touch services to drive real, measurable outcomes in the lives of job seekers across the country.
Sphera is a leading global provider of enterprise software and services that enables companies to manage and optimize their environmental, health, safety and sustainability. Our mission is to create a safer, more sustainable and productive world.
We are looking for motivated, driven individuals to join our team! Start your career as a Pest Control Technician in our groundbreaking dual function pest control and fumigation position, supporting all aspects for pest elimination. In
Meta seeks an experienced Warehouse Operations Manager to own Metas relationship with its third-party logistics (3PL) providers and other vendors at the site. The Regional Warehouse Operations Manager will be the operational liaison between Meta and
Overview We are looking for future leaders of the pack! Along with regular assigned duties, we look for people who want to take on special projects and stretch assignments to grow and develop with the organization.
Environmental Data Manager Encamp Hybrid • Remote • Indianapolis, IN, US Posted 1 day ago Job Description About the role As an Environmental Data Manager at Encamp, you will tame our customer’s complex environmental data. You’ll
Architect/ Lead Consultant (Global Trade Management) GTM with 15-25 years of experience Well versed with PL/SQL, SQL, BI Publisher XML, MS-Office Having experience of end-to-end GTM implementations (at least 3 projects) Manage Project account with techno-functional
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