Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small. Coupa AI is informed by trillions of dollars of direct and indirect spend data across a global network of 10M+ buyers and suppliers. We empower you with the ability to predict, prescribe, and automate smarter, more profitable business decisions to improve operating margins.
Why join Coupa?
• Pioneering Technology: At Coupa, we're at the forefront of innovation, leveraging the latest technology to empower our customers with greater efficiency and visibility in their spend.
• Collaborative Culture: We value collaboration and teamwork, and our culture is driven by transparency, openness, and a shared commitment to excellence.
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• Global Impact: Join a company where your work has a global, measurable impact on our clients, the business, and each other.
Learn more on Life at Coupa blog and hear from our employees about their experiences working at Coupa.
As a Data Scientist you will work with large datasets including both structured and unstructured data, implement and automate data (ETL) and machine learning pipelines, improve data quality, and ultimately help ship machine-language-driven product features. You will be guided by objectives of the project and analyze and contribute to others' designs and algorithms.
What you will bring to Coupa:
- Bachelor's Degree in Computer Science, Analytics, or Statistics (or similar field)
- Experience with Python (and PySpark), and querying languages such as SQL
- Good understanding of supervised and unsupervised learning algorithms including implementation
- Experience working with large datasets - cleaning, interpreting, and automating processes
- Ability to deal with ambiguity, learn on the fly, and use critical thinking skills
- Deep Learning (Tensorflow/PyTorch) is a must
- LLM Prompt Engineering/RAG is a plus
Coupa complies with relevant laws and regulations regarding equal opportunity and offers a welcoming and inclusive work environment. Decisions related to hiring, compensation, training, or evaluating performance are made fairly, and we provide equal employment opportunities to all qualified candidates and employees.
Please be advised that inquiries or resumes from recruiters will not be accepted.
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