Do you want to design and build tools that solve Amazon-scale, world-class analytical problems? Are you passionate about Big Data, machine learning, and/or econometrics? The Economic Trends and Insights (YETI) team is building and scaling an Automated Insights tool to spread data science across the Finance organization and turn Big Data into big business insights. Products include unsupervised and supervised anomaly detection, dynamic growth decomposition, automated attribution models, extreme weather impact models, and user tools to unlock the power of data for both technical and non-technical users within Finance.
As a Software Development Engineer, you will scale and expand upon analytical frameworks and algorithms to provide user tools for our customers. You will stretch your Curiosity by building end-to-end analytical products based on cutting edge machine learning and econometric theory. You will collaborate with senior scientists and engineers to deliver prototypes and production systems for our end users. This role has the opportunity to work with a variety of functional areas: Big Data processing, time-series prediction, anomaly detection, attribution modeling, supervised and unsupervised learning, etc. This role requires the use of distributed computation systems, the processing and visualization of Big Data, and the application of advanced statistical algorithms. A successful candidate will have a passion for innovation, interest in cutting-edge technology, and excitement about working in a high-impact domain with high leadership visibility.
* Translate complex functional and technical requirements into detailed architecture and system design
* Deliver high-quality software systems and features for customers
* Collaborate with scientists and economists to turn algorithms into production software
* Own the software development process end-to-end, including design, architecture, planning, implementation, testing, and operation of new systems and features
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