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.
What You’ll Do
- 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.
What You Will Bring to Coupa
- 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
Skills Required
- 5+ years of software engineering experience
- 2+ years in knowledge representation, graph systems, or data modeling
- Experience with graph databases or graph-like query systems
- Understanding of ontology design: RDF, JSON-LD, OWL, or schema representations
- Experience with entity resolution and knowledge graph population from structured data
- Strong data modeling skills
- Proficiency in Python and query languages
- Experience with enterprise data models in B2B SaaS
- BS/MS in Computer Science or equivalent experience
Coupa Compensation & Benefits Highlights
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Healthcare Strength — Health coverage is described as comprehensive, spanning medical, dental, vision, and mental‑health resources from day one. Plan breadth and wellness support are consistently emphasized.
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Leave & Time Off Breadth — Time off includes flexible or unlimited PTO, paid parental leave, floating holidays, and dedicated volunteer time. Remote‑friendly practices are noted to support taking time away.
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Parental & Family Support — Family‑building and caregiving supports include fertility benefits, generous parental leave, and resources for adoption and elder care. Return‑to‑work assistance and an onsite Mother’s Room are highlighted.
Coupa Insights
What We Do
Coupa is a global technology company that helps businesses run smarter by connecting all the ways they spend money — from procurement and expenses to payments and supply chain decisions — in one intelligent platform. In simple terms, Coupa gives organizations the visibility and control they need to make better financial choices, reduce waste, and drive real impact. It’s where technology meets purpose: helping companies manage their resources more responsibly while creating a positive ripple across their people, partners, and the planet.
Why Work With Us
At Coupa, we prioritize an inclusive and empathetic workplace where every voice is valued. Our teams are proactive and accountable, ensuring we collaborate effectively to achieve our goals. The foundation of our culture rests on our people; we believe in fostering an environment that encourages innovation and curiosity.
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Coupa Offices
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Employees work remotely.
Our virtual-first approach is intentional. It gives you the freedom to do your best work in a space that supports focus, balance, and creativity, while staying connected to a global team of changemakers who are redefining the future of business spend
















