Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.

Ramp is building the next generation of finance tools--from corporate cards and expense management, to bill payments and accounting integrations--designed to save businesses time and money with every click. Over 12,000 customers cut their expenses by 3.5% per year and close their books 8x faster by switching to the Ramp platform. Founded in 2019, Ramp powers the fastest-growing corporate card and bill payment software in America and enables billions of dollars of purchases each year. Ramp continues to grow quickly, more than doubling its revenue run rate in the first half of 2022. Valued at $8.1 billion, Ramp's investors include Founders Fund, Stripe, Citi, Goldman Sachs, Coatue Management, D1 Capital Partners, Redpoint Ventures, General Catalyst, and Thrive Capital, as well as over 100 angel investors who were founders or executives of leading companies.

Experian is hiring for Full Time Sr. Data Scientist - Adtech/Identity (Remote) - New York City, United States - a Senior-level AI/ML/Data Science role offering benefits such as 401(k) matching, Career development, Competitive pay, Equity, Flex hours, Flex vacation, Health care, Insurance, Parental leave, Startup environment, Wellness

About Digitas Digitas is the Connected Marketing agency, built on the principle that there are better ways for brands to connect with people. We leverage comprehensive data, technology, creative, media and strategy capabilities to deliver Media-Fueled Creativity via connected Solutions that include Connected Campaigns, Social Marketing, Brand Experience, CRM & Loyalty, and Marketing Transformation. A Leader in Gartner's Magic Quadrant for Global Marketing Agencies for six consecutive years, Digitas serves the world's leading brands through a global network comprised of more than 4,000 employees across over 30 countries and 50 offices. We are the connected marketing agency, a full-service agency with modern creative & media, data, and technology services all under one roof. The Data & Analysis team uses data-driven insights to fuel strategic growth for clients.

This innovative biotechnology company powered by AI, wishes to grow by hiring a senior data scientist. They are the proprietors of a company that uses specialised machine learning algorithms to forecast immunogenic antigens for personalised cancer immunotherapy and infectious diseases like COVID-19. Knowing Norwegian is not required. Following your application Rebecca Jones, a specialist recruiter, will discuss the opportunity in detail. She will be more than happy to answer any questions relating to the industry and the potential for your career growth.

Hi, we're DuckDuckGo, the Internet privacy company for everyone who wants to take back their privacy now. For over a decade, we've been building our all-in-one product, developing new privacy technology, and working with policymakers to make online privacy simple and accessible for all. Our app is now downloaded more than 75M times a year, and our private search engine packaged with it has become the #2 search engine on mobile in over 21 countries, including the United States, United Kingdom, Canada, Australia, Germany, and the Netherlands. Oh, and we've been profitable since 2014 with revenue currently exceeding $100 million a year! We're looking for a Senior Data Scientist to help shape our all-in-one privacy solution and join our mission to show the world that protecting your privacy online can be simple.

Events in recent years have made us all too familiar with the havoc that natural disasters can wreak, and the increasing frequency and intensity with which they are occurring. Despite record levels of losses, conventional methods of risk modeling continue to paint at best an incomplete picture of these threats. While AI alone may not be able to thwart these disasters, it can help us become more prepared for them, and ultimately that will lead to better outcomes. As a Senior Data Scientist - Computer Vision and MLOps, you are comfortable and excited to work closely with the Data Science and Machine Learning team to build the best AI tech possible. You will scale the development of top-tier models by using diverse data sources to provide strong insights and maximize the impact of our company efforts.

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.

Events in recent years have made us all too familiar with the havoc that natural disasters can wreak, and the increasing frequency and intensity with which they are occurring. Despite record levels of losses, conventional methods of risk modeling continue to paint at best an incomplete picture of these threats. While AI alone may not be able to thwart these disasters, it can help us become more prepared for them, and ultimately that will lead to better outcomes. As a Senior Data Scientist - Climate Risk Modeling, you are comfortable and excited to work closely with the engineering team to build the best AI tech possible. You will develop top tier models from unique and diverse data sources to provide strong insights and maximize the impact of our company efforts.

As the world's largest research organization, Nielsen is powered by talented creative scientists. Our data scientist business leaders come from a variety of disciplines, including statistics, research methodology, mathematics, psychology, business, engineering, physics, and demographics. These professionals drive innovation, ideation of new products, develop complex analytics, and provide data insights to measure what consumers will buy. Highly motivated, team leader, self-directed, proactive and possesses an impulsive personality able to work under tight deadlines Resourceful, inquisitive and Strong aptitude for data analysis. Generates ideas for improvement, doing things differently, passionate about being part of a high-performing team, and willing to support special projects or initiatives as needed.