Citizant is a leading provider of professional IT services to the U.S. government. We seek to address some of our country's most pressing challenges in the areas of Agile application development, Enterprise Data Management, Enterprise Architecture, Product Management, and Program Management support services. We strive to hire only ethical, talented, passionate and committed "A Players" who already align with the company's core values: Drive, Delivering Excellence, Reputation, Responsibility, and a Better Future. No matter how large we grow, Citizant will retain its collaborative, supportive, small-company culture, where successful team effort to address external and internal customer challenges is valued above all else. Citizant strives to be an employer of choice in the Washington metropolitan area.

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.

In our current reality where 2.5 quintillion bytes of data is generated each day, an expert who can put together this humongous data to give business solutions is undoubtedly the hero! Much has been spoken about why a career in data science is great and the demand for data scientist skills. Since the time data-fueled digital disruption has taken place, data science job opportunities are always in demand. In a business setting, data science graduate jobs incorporate foreseeing potential trends, exploring different and unrelated data sources, and finding better approaches to analyze data. They exhume through a lot of structured and unstructured data to discover patterns that can help find new market opportunities, lift efficiencies and that's just the beginning.

The Allen Institute of Artificial Intelligence (AI2) is looking for a talented Data Science Analyst with experience in scientific research (biochemistry, pre-med or a related field) to work alongside our research and engineering teams to crowdsource, curate and analyze data from the machine learning and AI models that power our academic search engine Semantic Scholar. Since its launch in November 2015, Semantic Scholar has indexed and learned from over 40 million research papers in thousands of journals and conferences. We are actively expanding the scope and scale of our models and in this role you will have the opportunity to directly shape and influence the direction of the product by contributing to emerging artificial intelligence research that improves how researchers discover relevant information! The Allen Institute for Artificial Intelligence is a non-profit research institute in Seattle founded by Paul Allen and headed by Professor Oren Etzioni. The core mission of AI2 is to contribute to humanity through high-impact research in artificial intelligence.

While the majority of businesses are just getting their feet wet in the machine learning space, many are already reaping the benefits. The technology is moving forward rapidly. Getting left behind is a big concern for the early adopters and a driver for fast followers. Staying competitive in a rapidly moving, emergent technology is already a challenge. With machine learning, that's compounded by technical complexity, a talent shortage, and a constantly changing landscape of open source products. Recognized experts in the field like Google are employing some creative thinking to stay ahead of companies like Facebook, IBM, and more recent challenger Microsoft. Through acquisitions, an active presence in open source projects, and crowdsourcing solutions to problems they've been unable to tackle internally, Google has managed to stay at the top of their game.