10 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...

Are you interested in making an impact and partnering with various Amazon businesses including our e-Commerce websites, Prime, Alexa and AWS? Ever wonder how it feels to have hundreds of thousands of users counting on you to be performant, innovative and adaptable? Access Management Systems (AMS) is the group for you! We are responsible for the protection of customer and corporate data, while being connected to all parts of Amazon's business and its massive worldwide service-oriented architecture. Whether you're passionate about building highly scalable and reliable systems in the cloud or a software developer who likes to solve interesting and complex business problems, AMS is the place for you. We are looking for a Software Development Engineer to design and build large scale, highly impactful Permissions and Access Management Systems with company-wide reach. There is ample opportunity to innovate and deliver high impact outcomes. You will collaborate with the...

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...

What you will do Let’s do this. Let’s change the world. In this vital role you will work closely with product owner/business analyst and delivery managers to understand the complexity of regional requirements. This role will be part of the newly established technical/engineering team, lead design and develop of data flow pipelines to extract, transform, and load data from various data sources in various data format to enterprise data lake and data warehouse system in three regions in AWS. Responsibilities Be able to do hands on work, lead data engineer team, mentor junior data engineers Collaborate with Business SME’s, and Data Scientists to architect data products and services Provide architectural and data model oversight for processes which perform data extraction, transformation, work flow management and data quality check Drive the exploration and adoption of new tools, technique, propose improvements to the data pipelines and system...

The role Do you want to own data platform projects that mean something? Tesla is searching for passionate Systems Reliability Engineers to do Database Engineering. Join our innovative Database Infrastructure engineering team. Build and support the systems that will fix the World’s energy problems. Make data systems run fast and run reliably so that our cars run fast and run reliably. Have you read the Google SRE book? Are you ready to apply those principles to improve database reliability and decrease toil at Tesla? In this role you will build the next generation data platform to deliver database related services on demand while reducing our infrastructure footprint. You will support the current fleet. You will automate. You will monitor. You will observe. You have solved critical business problems using observability and automation. You passionately build resilient, reliable and scalable databases and tools. Responsibilities Figure things out and...

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...