Upwave | Analytics / Machine Learning / Data Engineer | San Francisco | Full-time | Bay Area-based or REMOTE (USA only, no visa sponsorship)
About Upwave:
Upwave is a YC/venture-funded startup that helps large enterprises plan, measure, and optimize brand advertising campaigns. We offer a comprehensive set of tools that help our Fortune 500 clients understand and improve how they’re perceived in the marketplace, how aware consumers are of the value they provide, and how much consumers trust them to provide the value they promise. Our team emphasizes high-quality, high-velocity, sustainable software development in a collaborative and inclusive team environment.
About the Role:
At Upwave, data analysis is our product, so data and data engineering are key to everything we do. We've been rapidly expanding our list of enterprise customers and deepening our integrations with "household name" partners like Amazon and Verizon. As we grow, we're building more unique, differentiated, valuable types of analytical products and we need full stack engineers to build robust user experiences and data engineers to feed those products with data.
The core of our analytical offering is a home-grown statistical pipeline that performs sophisticated high-scale causal inference by training and evaluating thousands of ML models each night. We need a new analytics engineer to take primary ownership of developing and extending this pipeline. You'll work closely with our data science organization on implementing and scaling cutting edge statistical algorithms using the PyData/Python toolchain and AWS. This is a great opportunity to do modern analytics engineering and have a direct and pivotal impact on our business' main value proposition.
About Upwave:
Upwave is a YC/venture-funded startup that helps large enterprises plan, measure, and optimize brand advertising campaigns. We offer a comprehensive set of tools that help our Fortune 500 clients understand and improve how they’re perceived in the marketplace, how aware consumers are of the value they provide, and how much consumers trust them to provide the value they promise. Our team emphasizes high-quality, high-velocity, sustainable software development in a collaborative and inclusive team environment.
About the Role:
At Upwave, data analysis is our product, so data and data engineering are key to everything we do. We've been rapidly expanding our list of enterprise customers and deepening our integrations with "household name" partners like Amazon and Verizon. As we grow, we're building more unique, differentiated, valuable types of analytical products and we need full stack engineers to build robust user experiences and data engineers to feed those products with data.
The core of our analytical offering is a home-grown statistical pipeline that performs sophisticated high-scale causal inference by training and evaluating thousands of ML models each night. We need a new analytics engineer to take primary ownership of developing and extending this pipeline. You'll work closely with our data science organization on implementing and scaling cutting edge statistical algorithms using the PyData/Python toolchain and AWS. This is a great opportunity to do modern analytics engineering and have a direct and pivotal impact on our business' main value proposition.
See and apply for the roles at http://www.upwave.com/careers and/or email me: george@upwave.com