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
What the Team is Saying
Coupa Compensation & Benefits Highlights
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Healthcare Strength — Health, dental, vision, and mental‑wellness resources for employees and dependents begin on the first day of employment. Recent updates to health‑insurance programs this year indicate active management of core coverage.
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Leave & Time Off Breadth — Flexible Time Off, floating holidays, paid parental leave, and dedicated volunteer time off are emphasized as part of standard offerings. A global minimum vacation allowance outside the U.S. is also advertised.
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Retirement Support — Competitive compensation is paired with retirement savings programs, including a U.S. 401(k) with company match. An Employee Stock Purchase Plan is also referenced as part of long‑term financial support.
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
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
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
