As part of the Engine team, you’ll play a vital role in an environment where innovation meets collaboration, analyzing large-scale pricing datasets to identify trends and benchmark comparable properties across regions. Your responsibilities include architecting core pricing intelligence systems using robust statistical ML methods that form the foundation for their next-generation pricing platform, building enterprise-grade ML models, and developing strategic pricing algorithms.
Helping to grow the Rackspace Cloud data practice, acting as the expert in the region and supporting the sales of our data projects on AWS Cloud. Working directly with our sales team to propose solutions to customers to achieve business outcomes using AWS Cloud. Responsible for understanding clients’ business requirements as they pertain to Data solutions, qualifying opportunities and creating designs that match the requirements with appropriate products, managed and professional services.
Provides foundational support for AI and Data Science initiatives and supports analytics and program evaluation across departments in collaboration with internal stakeholders. The ideal candidate will have a Master’s degree or PhD in Mathematics, Statistics, Computer Science, Data Science, or a related field, and experience working in a health care environment.
Hungryroot is looking for a Senior Operations Research Engineer to be a part of our growing Data Science team, responsible for working directly on core Machine Learning/Operations Research algorithms for grocery personalization, recipe selection, and supply chain forecasting. As a member of the team, you will be building models collaboratively with others and implementing them in experimentation and production settings. You will analyze results of experiments and production data.
Design, build, and deploy next generation AI-driven tools for market research, working at the intersection of data science and AI engineering. Develop models and predictions using a combination of surveys, voter databases, census microdata, behavioral tracking and other sources. Build applications to simplify analytics and improve the efficiency of data processing. Collaborate with data analysts, product managers, UI designers, and software developers to create great products.