Sr Data Scientist - 11317

India·BangaloreRemoteMid Levelsenior

OtherData ScientistEngineerData

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Overview

Coupa makes margins multiply through its community-generated AI and industry-leading total spend management platform for businesses large and small.

Technical Tools

OtherData ScientistEngineerData

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.

🔹 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.

The Impact of a Sr Data Scientist at Coupa:

Sr. Data Scientists at Coupa support internal teams (primarily product and engineering) by creating and automating machine-language-driven solutions to complex problems. Your work would help improve existing or new machine-language-based product features and would ultimately impact thousands of Coupa customers driving product usage and adoption.

Drive the end-to-end development of proprietary LLMs optimized for corporate finance, procurement, and supply chain domains. This includes pre-training, Parameter-Efficient Fine-Tuning (PEFT/LoRA), and Alignment techniques (RLHF/DPO).

Partner with data engineering to curate, clean, and tokenize massive volumes of unstructured enterprise data, including supplier contracts, invoices, and complex global compliance regulations.

Design robust Retrieval-Augmented Generation (RAG) frameworks to ground LLM outputs in verified, internal corporate knowledge bases, minimizing hallucinations.

Bachelores/Masters degree in Computer Science, Data Science, Statistics, or a related quantitative field (or equivalent deep industry experience)

5+ years of experience as a Data Scientist, with a strong, proven track record of training and deploying transformer-based models and LLMs in production environments.

Experience with Python (and PySpark), and querying languages such as SQL

Experience working with large datasets - cleaning, interpreting, and automating processes

A strong understanding of the trade-offs between model size, inference speed, cost, and accuracy, with the ability to choose the right tool for the specific business problem.

Ability to deal with ambiguity, learn on the fly, and use critical thinking skills

Proven leadership and mentoring skills impacting team success

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.

By submitting your application, you acknowledge that you have read Coupa’s Privacy Policy and understand that Coupa receives/collects your application, including your personal data, for the purposes of managing Coupa's ongoing recruitment and placement activities, including for employment purposes in the event of a successful application and for notification of future job opportunities if you did not succeed the first time. You will find more details about how your application is processed, the purposes of processing, and how long we retain your application in our Privacy Policy.