Spend Management Machine Learning Solution Architect / Data Scientist

Company: Workday, Inc.
Location: San Francisco, California, United States
Type: Full-time
Posted: 03.SEP.2021
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Summary

Do what you love. Love what you do.At Workday, we help the world's largest organizations adapt to what's next by bringing finance, HR, and p...

Description

Do what you love. Love what you do.At Workday, we help the world's largest organizations adapt to what's next by bringing finance, HR, and planning into a single enterprise cloud. We work hard, and we're serious about what we do. But we like to have fun, too. We put people first, celebrate diversity, drive innovation, and do good in the communities where we live and work.About the TeamThe Spend Management Advanced Research and Technology (SMART) team at Workday has the exciting mission of revolutionizing the future of spend management by developing the next generation of enterprise-grade Source-to-Pay applications powered by machine learning and intelligent automation. We are a small, scrappy team of product managers, application software developers and data scientists who operate as a start-up within a large, highly-successful cloud computing company. We explore petabyte-scale datasets to inform product development and build prototypes that apply cutting edge ML technologies in natural language processing (e.g. BERT and other transformer neural networks architectures ), deep learning and reinforcement learning with the end goal of deploying novel, production-ready, mission critical functionality to our customers that accelerate their businesses by optimizing their spend.We are looking for a Machine Learning Solution Architect / Data Scientist with an entrepreneurial mindset to join us and help realize our vision of solving spend management's most important problems by using petabytes of top industry enterprise data and state-of-the-art ML/AI techniques to build and deploy next generation software products and features. We are looking for the following qualificationsAbout the RoleCollaborate with Product Managers to elicit business problems and requirements from customers for machine learning use casesPerform exploratory data analysis on ~100 GB - 1 TB scale datasetsRapidly prototype machine learning solutions using relevant technologies (e.g. Jupyter notebooks using python)Work closely with other data scientists, developers, and product managers on R projectsCollaborate with ML engineers to test and deploy ML prototypes to production environmentsEvangelize projects and products to internal (stakeholders and upper management) and external audiencesAbout YouAdvanced degree (MS/PhD) in computer science or a STEM field5+ years of professional experience developing ML research prototypes and collaborating with engineers to turn them into performant, highly-available production systems that have positively impacted the business.Experience working with product managers to translate customer needs into technical requirementsHands-on experience with Machine Learning: Supervised and unsupervised methods, deep learning, and reinforcement learning. In particular, experience with multi-class classification on large datasets with highly-skewed classes, natural language processing using transformer neural network architectures like BERT and GPT-type models, clustering, unsupervised dimensionality reduction techniques (e.g. PCA, autoencoders), Deep Learning in general, specifically familiarity with heterogeneous architectures that incorporate dense layers and LSTM layers that mix unstructured text inputs with categorical features.Familiarity with state-of-the-art modeling technologies: sklearn, TensorFlow, keras, PyTorch.Coding proficiency and software development experience using languages like Python, Spark, Scala, Java.Familiarity with AWS data processing tools (EC2 and SageMaker)Experience packaging prototypes into containerized services (e.g. Docker, Flask)Demonstrated ability to take ownership and successfully complete complex projects that span highly cross-functional teams.Experience working with product managers to translate customer needs into technical requirements#LI-BT1San Francisco Fair Chance OrdinancePursuant to the San Francisco Fair Chance Ordinance, Workday will consider for employment qualified applicants with arrest and conviction records.Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

 
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