About the role: Join our dynamic BTI Data Science team and help transform Gartner’s research content & insights operation. In partnership with our PMO and IT organizations, you will help build the AI applications and systems that
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles,
The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles,
The Insights and Product Analytics team (IPA) organization is responsible for business performance of all research products and performs analysis related to all aspects of Gartner’s Business and Technology Insights (BTI) business unit. This includes client
Director of Applied AI & Data Science The Director of Applied AI & Data Science is a senior technical leader responsible for designing, engineering, and operationalizing production grade AI solutions across Life Insurance, Investments, Membership, and Charities. This
Lab Manager Position at Yale University Working at Yale means contributing to a better tomorrow. Whether you are a current resident of our New Haven-based community, eligible for opportunities through the New Haven Hiring Initiative, or
Application Deadline: September 1st at 11:59 pm EST Program Summary - Data Science & Technology Internship Company Overview: Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys
Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity, futures and other markets globally. Starting with many data sets, we develop large sets of features and use various machine learning methods
Trexquant is a systematic hedge fund where we use thousands of statistical algorithms to trade equity, futures and other markets globally. Starting with many data sets, we develop large sets of features and use various machine learning methods