Senior Data Scientist, Sourcing & AI Systems

Coupa Software Inc.; Xico; On-site; MXN 1,033,000 - 1,721,000; Full time

Benefits offered by this job

Global Wellness Days

BirthdayTime-Off

VolunteerTimeOff (VTO)

Employee Assistance Program (EAP)

Travel Protection

Job summary

Coupa Software Inc. seeks a Senior Data Scientist to join the Data Capture Research team in Prague. You will work on open, greenfield sourcing problems, applying advanced ML, recommendation, forecasting, and mechanism design techniques on real spend data across a large supplier network.

You will own problem framing, dataset construction, experimentation, and production deployment, collaborating with product and procurement experts to drive measurable impact on sourcing decisions.

Qualifications

• 10+ years in applied ML, data science, ML engineering or quantitative research with production experience.
• Strong Python skills and comfort with large, messy data including SQL.
• Deep knowledge in one modelling discipline with curiosity across others.

Responsibilities

• Own sourcing research initiatives end to end from problem framing to production model.
• Design and run bold experiments with fast prototypes and solid baselines.
• Define datasets, labels and benchmarks for learnability on real spend data.
• Collaborate with product, procurement experts, and AI Platform teams.
• Ship with deployment in mind including latency and robustness considerations.

Skills

Applied ML

Python

SQL

Experiment design

Greenfield problems

Ownership

Tools

PyTorch

TensorFlow

SQL tooling

Job description

Coupa Software Inc. seeks a Senior Data Scientist to join the Data Capture Research team in Prague. You will work on open, greenfield sourcing problems, applying advanced ML, recommendation, forecasting, and mechanism design techniques on real spend data across a large supplier network.

You will own problem framing, dataset construction, experimentation, and production deployment, collaborating with product and procurement experts to drive measurable impact on sourcing decisions.