Data Scientist The Opportunity: As an analytics professional, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. If you care
Job Opportunities Join us onsite on Thursday, August 20th to learn about a variety of open positions within various departments here in Cincinnati. Medpace will be hosting an In-Person Hiring Event regarding our opportunities for candidates
Job Description SummaryThis role is a hybrid between an AI engineer, data scientist, and software developer, designed for someone who can operate across the full lifecycle of AI system development. You’ll play a key role in defining, developing,
Power Platform Solution Developer The Opportunity: A solution developer on our team uses equal parts skill and vision to build a user experience that delivers functionality and efficiency. Our solution developers combine the analytical power of
Job Description SummaryThe CES Business Intelligence team is building the next generation of AI-powered solutions for commercial, contracts, and operations. Were looking for an AI Engineer to help transform GE Aerospace operational data into production-grade machine learning
Job Title Lead enterprise strategy and execution to prevent, detect, and disrupt digital fraud, scam victimization, and money mule activity across customer channels. This role integrates fraud strategy, financial crime intelligence, customer protection, and operational response
Analytics Manager/Director MSIG USA is the US-based subsidiary of MS&AD Insurance Group Holdings, Inc., one of the worlds top P&C carriers and a global Class 15 insurer, with A+ ratings and a reach that spans 40+
Company Overview 84.51 knows customers, and we know how to connect you. Using a sophisticated, proprietary suite of tools and technology, we turn customer data into actionable knowledge. With unparalleled customer data and predictive analytics capabilities, we deliver
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 product managers,
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 product managers,