About the Job Join us and be a part of a start-up cell of a large international company where you will be working with state-of-the-art technology, make use of NLP and Machine Learning, and where your career can grow exponentially. You will be part of the Paperpal team powered by CACTUS, where we are rethinking how science is communicated and helping scientists write better science smarter. You will be part of an international working environment with employees across the EU and Asia, who work together to build cutting-edge web experiences and APIs used globally by scientists. This is a remote working opportunity . Responsibilities: Write new functionality in an existing frontend framework, a modern tech stack with React, Node.js, Redux and Typescript , with focus on the Typescript part of the stack Working with tools, technologies and plugin architectures that will challenge your abilities to write and work in asynchronous editing scenarios to achieve...

Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. We are now a global, world-class organization with offices in more than a dozen countries and serving many more. JOB DESCRIPTION Provide technical and thought leadership designing, testing and implementing methodologies to forecast and monitor metric time series. Develop algorithms to detect anomalies, assess risks/threats, and core metric fluctuations with our Security team. Conduct ad-hoc analysis to understand unexpected metric movements and communicate results to other data scientists, product managers and company leadership. Interface with engineers, product managers and product...

Position: Quantitative Modeler - US Sporting Events Location: Remote (US) Looking for a talented and highly motivated Quantitative Modeler for a unique and exciting opportunity to work with a small team to accurately predict the outcomes of future US sporting events. Candidate must have a strong understanding the wagering markets involving these events.  Candidate should have hands-on experience with statistical modeling.  Ideal candidates will also have experience in traditional data science (analyzing data) and more modern data science (AI, deep learning). Candidates must be capable of working in a remote environment. Required Qualifications:  Python (scripting, numpy, scipy, matplotlib, scikit-learn, jupyter notebooks) Experience with machine learning algorithms, such as neural networks/deep learning, SVM, XGBoost, Random Forest, generalized linear models, etc. Understanding of Sports Wagering Markets Experience with Amazon Web...