7 jobs found

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. Our Sales Engineering organization is seeking a Principal Data Platform Architect to join our Field CTO Office who can provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall ecosystem. In this role you will work with sales teams, product management, and technology partners to leverage best practices and reference architectures...

The Global Information Security (GIS) team secures Pfizer’s most important information assets through world class talent, top security controls and an empowered culture that serves to enable Pfizer’s mission of delivering breakthroughs that change patients’ lives. The Cyber Threat Hunting team is responsible for finding unknown or unidentified threats to the organization that may have evaded existing security defenses and can impact Pfizer assets. With the assumption of system compromise, threat hunters will use various data sources, tools, and investigative methods to identify adversaries, along with the tactics, techniques, and procedures ("TTP's") they use to perform unauthorized and malicious activity. The team is responsible for mitigating risk through threat identification and works to implement stronger security controls and improved threat detection capabilities through every hunt execution. The incumbent will be a member of the Cyber Threat Hunting...

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...

As we strive to be Earth's most customer-centric company, Amazon has reinvented how hundreds of millions of people shop online – providing customers with the opportunity to find and discover virtually anything they want to buy and providing millions of sellers with a platform for growing successful businesses. We are looking for an exceptional business analyst to help us develop new ways to build trust and loyalty with sellers, a crucial component of our flywheel Sellers’ trust in Amazon is our top priority and in this role, you will be tasked with building that trust over time by diving deep into how we measure our progress and helping to identify and prioritize key areas of focus. Amazon’s growth requires leaders who move fast, have an entrepreneurial spirit to create new solutions, have an unrelenting tenacity to get things done, and are capable of breaking down and solving complex problems. The successful candidate will be a self-starter, comfortable...

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...

The Role Collaborate with stakeholders to take a vague problem statement, refine the scope of the analysis, and use the results to drive informed decisions Summarize and clearly communicate data analysis assumptions and results Build data pipelines to feed data analyses into production dashboards that engineers can rely on Understand and apply reliability concepts in your data analysis Design and implement metrics, applications and tools that will empower energy service by allowing them to self-serve their data insights Work with service managers to drive usage of your applications and tools Write clean and tested code that can be maintained and extended by other software engineers Maintain robust documentation and support your production applications Keep up to date on relevant technologies and frameworks, and propose new ones that the team could leverage Independently identify trends, invent new ways of looking at data, and get creative in order...

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...