Oura is an award-winning and fast-growing startup that helps people track all stages of sleep and activity using the Oura Ring and connected app. By providing daily feedback and practical steps to inspire healthy lifestyles, we've helped hundreds of thousands of people improve their sleep, understand their bodies, and transform their health. We're on a mission to empower every person to own their inner potential, and we're seeking candidates who want to make an impact on our journey. We are looking for a Machine Learning Data Scientist to work in our Research Algorithm Platform squad in North America. Working closely with health and physiology scientists, you will develop machine learned models to capture indicators of health and wellness.

The Machine Learning Data Scientist will join a team of engineers innovating new techniques for applying Artificial Intelligence, Machine Learning, and data analytics techniques to transform unstructured images and files into financial data sets.

Susquehanna International Group is a global quantitative trading firm founded with an entrepreneurial mindset and a rigorous analytical approach to decision making. We are currently seeking an extraordinary Machine Learning Data Scientist to join our Statistical Arbitrage team in Sydney. Contribute techniques from machine learning towards improved automated trading systems. You will work with traders, quants, software developers in a highly focused team building, deploying and improving automated trading systems. This team researches, implements, tests, deploys and monitors proprietary systems trading across multiple markets and financial products.

Booz Allen Hamilton has been at the forefront of strategy and technology for more than 100 years Today, the firm provides management and technology consulting and engineering services to leading Fortune 500 corporations, governments, and not-for-profits across the globe. Booz Allen partners with public and private sector clients to solve their most difficult challenges through a combination of consulting, analytics, mission operations, technology, systems delivery, cybersecurity, engineering and innovation expertise. Work as a key researcher and R&D engineer on a growing team of elite scientists who investigate and solve challenging, data fusion problems. Use R&D experience to develop and implement biometric and data fusion techniques through algorithm and software or script development, and the use of existing data fusion tools. Collaborate with experienced subject-matter experts and technical or project managers to develop cutting edge technology to fill data fusion capability gaps that can withstand rigorous scientific validation.

What is Crisis Text Line? Crisis Text Line provides free, 24/7 emotional support and information to people in crisis, by text. We aim to move every texter in crisis from a hot moment to a cool calm. Crisis Text Line is growing at an incredible rate. Since launching in August of 2013, our Crisis Counselors have exchanged over 46 million messages with texters in crisis.

Chatterbox Labs are looking for Data Scientists at junior, mid and senior levels to join our growing, UK-based team to help research, develop and extend our existing cognitive technologies. You should hold a PhD in the field of Machine Learning (or a related/similar field) and have evidence of applied research as well as theoretical. You will join our technical team who focus on the research and development of our multi-lingual Cognitive Engine for short form and long form text classification. You will work alongside our Chief Technology Officer and other Data Scientists who are also working on Cognitive Computing, Image Processing & Deep Learning methods. The specifics of each job will vary depending upon experience levels – we recognize that those exploring junior positions may have minimal experience outside of academia/research institutions.

Ability to drive technical development and prototyping in a fast-paced startup-like environment. Strong understanding and ability to apply advanced mathematical concepts to solve real world problems. The Machine Learning Data Scientist will come from a very strong background in mathematics, applied mathematics, statistics and computer science (at least MA/MSc level, Engineer school/PhD from university a plus). A post-graduate degree in Machine Learning, Artificial Intelligence or a related technical field is a strong plus (any ML background will be considered). Global Markets Labs is a spin-off quantitative research team which mandate is to build the next generation of Data Intelligence and language understanding products used in the Banks Global Markets. This small team works on projects using the latest techniques in Artificial Intelligence, Datamodelling and Natural Language Understanding.