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It's fun to work in a company where people truly believe in what they're doing. At Workday, we're committed to bringing passion and customer focus to the business of enterprise applications. We work hard, and we're serious about what we do. But we like to have a good time, too. In fact, we run our company with that principle in mind every day: One of our core values is fun.
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Welcome to Data Science Applications & Machine Learning Platform at Workday! We are an entrepreneurial team in a large company that applies data science and machine learning to some biggest enterprise software problems - from scaling infrastructure, to predictive business insights, from computer vision, to natural language understanding. We build models on an industry leading enterprise data set and work with petabytes of data, using state-of-the-art AI techniques and big data technologies. We develop scalable platform on which we develop these data driven.
We are hiring for numerous positions for both our Pleasanton, CA, headquarters and our San Francisco, CA, office. Whether you're a recent Bachelors/Masters/PhD grad, an experienced researcher, or a top notch software developer with a background in data science, we want to talk to you! See the below descriptions for further details on our opportunities.
Decision Science - Decision Science works on problems and data sets across the Workday organization: anomaly detection, time series forecasting, clustering, classification, natural language processing, customer segmentation, just to name a few. Your work will inform critical product and operational decisions, and will also be built into the product to directly improve customer experience. In addition to projects, you will be able to learn from fellow top notch data scientists and engineers, follow and share cutting-edge machine learning and deep learning research, and publish academic papers and patents.
Tech: Modeling - Python (NumPy, SciPy, pandas), R, Scala, Java, MLlib, H2O; Visualization - D3.js, Highcharts, Tableau, Gephi; Big data tools - Hadoop, Hive, Spark, Kafka/Flink, Zeppelin
Computer Vision & Deep Learning - You will work on computer vision problems such as Optical Character Recognition (OCR), object detection and recognition, image classification, visual question answering (VQA), etc. Your work will touch the entire enterprise world: invoices, expense receipts, resumes, academic transcripts, learning videos, survey responses, just to name a few. You will design and build AI products that will impact millions of users, on both mobile and desktop.
Tech: CNN, RNN, Caffe, Torch, TensorFlow, Java, Scala, Python, R, CUDA, OpenCL
Product Science - We are a data-engineering team with expertise building search and ML based predictive analytics into Workday applications. At massive scale, we contribute to the technology behind data normalization, search relevance, recommendation systems, and machine learning with the goal of making enterprise in the cloud smarter. We are proud of our nimble, startup like culture. We practice quick ideation, agile development, pair programming, extensive automated testing and continuous deployment. Every team is a proud service owner, responsible for development, quality, and production support.
Tech: Java, Scala, Python, R, Hadoop, Mesos, Spark, Elasticsearch, Kafka
Learn more about Workday:
Workday's Technology Platform and Development Process (whitepaper):
Workday Technology and Innovation Blog:
EVP of Development Explains Technology behind Workday's Innovative Applications (YouTube):
A little about us:
Workday is a leading provider of enterprise cloud applications for finance and human resources. Founded in 2005, Workday delivers financial management, human capital management, and analytics applications designed for the world’s largest companies, educational institutions, and government agencies. Organizations ranging from medium-sized businesses to Fortune 50 enterprises have selected Workday.