Coupa Software (NASDAQ: COUP), a leader in business spend management (BSM), has been certified as a "Great Place to Work" by the Great Place to Work organization. We deliver "Value as a Service" by helping our customers maximize their spend under management, achieve significant cost savings and drive profitability. Coupa provides a unified, cloud-based spend management platform that connects hundreds of organizations representing the Americas, EMEA, and APAC with millions of suppliers globally. The Coupa platform provides greater visibility into and control over how companies spend money. Customers - small, medium and large - have used the Coupa platform to bring billions of dollars in cumulative spend under management. Learn more at www.coupa.com. Read more on the Coupa Blog or follow @Coupa on Twitter.
Do you want to work for Coupa Software, the world's leading provider of cloud-based spend management solutions? We're a company that had a successful IPO in October 2016 (NASDAQ: COUP) to fuel our innovation and growth. At Coupa, we're building a great company that is laser focused on three core values:
1.Ensure Customer Success
2.Focus On Results
3.Strive For Excellence
Act as the liaison between product management and applied research to ensure there is a cohesive understanding of product deliverables as it relates to data science technologies.
Articulate and demonstrate data science solutions and product details to internal and external stakeholders/customers.
Support the use & delivery of applied research technology within Coupa products, responding to customer support escalations in a timely fashion.
Assist the team with evaluating the quality and performance of data science algorithms. Track metrics around quality and performance with each release. Identify bugs within the algorithms. Validate new features as they are developed.
Understand the development sprint processes including managing technology backlogs, priorities and ensures alignment with product releases.
Have a good understanding of complex mathematical and statistical models to solve challenging problems in the following supply chain domains:
Simulation: Study key performance metrics across equipment, personnel and material; Quantify risk and resiliency in the supply chain, etc.
Demand Forecasting / Time Series Prediction: Generate short-term and long-term forecasts to optimize future decisions, use causal data to understand factors impacting the demand of products, etc.
Root Cause Analysis: Developing an understanding of why supply chain performance measures are changing leveraging interpretable Machine Learning models.
Graduate degree in Mathematics, Statistics, Analytics, Data Science or equivalent experience
Solid background in data analytics
Have intermediate programing skills in Python
Work experience with Database Management using Microsoft SQL Server or similar products.
Experience in supply chain highly desired
Experience using development enabling tools such as JIRA, Confluence and Zendesk
At Coupa, we have a strong and innovative team dedicated to improving the spend management processes of today's dynamic businesses. It's our people who make it happen, and we strive to attract and retain the best in every discipline.
We take care of our employees every way we can, with competitive compensation packages, as well as restricted stock units, an Employee Stock Purchase Program (ESPP), comprehensive health benefits for employees and their families, retirement and savings plans with employer match, a flexible work environment, no limit vacations for exempt employees, non-exempt employees are on an accrual basis for PTO, catered lunches
And much more!
As part of our dedication to the diversity of our workforce, Coupa is committed to Equal Employment Opportunity without regard for race, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity or religion.
Please be advised, inquiries or resumes from recruiters will not be accepted.