Coupa Software
Coupa Software
Coupa Software izstrādā uzņēmumu izdevumu pārvaldības risinājumus, kas palīdz organizācijām pārvaldīt iepirkumu, finanšu, piegādes ķēdes un IT izdevumus. Tās platforma atbalsta rēķinu apstrādi, maksājumus, izdevumu pārvaldību, attiecību ar piegādātājiem pārvaldību un sadarbību piegādes ķēdē. Apvienojot mākslīgo intelektu ar datu sniegtajām atziņām, tā palīdz identificēt ietaupījumu iespējas, uzlabot atbilstību prasībām un samazināt darbības riskus. Coupa apkalpo dažādu nozaru organizācijas, tostarp autobūves, veselības aprūpes, mazumtirdzniecības, loģistikas un konsultāciju uzņēmumus, bet tās partneru un klientu kopiena veidota, lai veicinātu efektīvāku un noturīgāku uzņēmējdarbību.

Lead Data Scientist - Sourcing (Prague Hybrid)

Lead applied machine learning research for sourcing decisions using Coupa’s in-house T-LLM architectures and modern ML. Build and deploy production models for Coupa’s global spend management platform.

Apraksts

  • Lead sourcing research initiatives from problem definition and experimentation through production deployment
  • Create novel solutions for new sourcing challenges
  • Define datasets, labels, benchmarks, and evaluation methods using historical sourcing events
  • Design and conduct experiments, prototypes, baselines, and offline evaluations
  • Apply in-house T-LLM architectures to RFPs, specifications, quotes, and contracts
  • Deploy models optimized for inference cost, latency, robustness, and recommendation accuracy
  • Partner with Coupa’s Sourcing, data, and AI Platform teams
  • Document technical decisions and support team development
  • Build systems for recommendation, retrieval, forecasting, should-cost analysis, game theory, mechanism design, optimization, and multimodal document understanding

Prasības

  • At least 10 years of experience in applied machine learning, data science, ML engineering, or quantitative research
  • Experience putting machine learning models or decision systems into production
  • Advanced Python skills
  • Experience working with large-scale, messy datasets
  • Proficiency with SQL
  • Ability to create reliable datasets, labels, and benchmarks
  • Expertise in at least one of deep learning, recommendation and ranking, forecasting and time series, optimization and operations research, causal inference and econometrics, reinforcement learning and bandits, market and mechanism design, or LLM-based systems
  • Strong experimental design skills and scientific rigor
  • Understanding of data leakage, baselines, and production-ready evaluation
  • Comfort solving ambiguous problems in greenfield environments
  • Interest in procurement, supply chains, or market design is welcome but not required

Priekšrocības

  • Access to frontier LLMs, high-end GPUs, and large-memory computing clusters
  • Conference attendance budget
  • 33 days of leave, including PTO, personal days, birthday leave, and two company wellness days
  • Parental leave
  • Paid global wellness days
  • Paid birthday leave
  • 40 hours of paid volunteer leave each year
  • Free, confidential Employee Assistance Program available 24/7/365
  • Business travel protection through Zurich Travel Assist
  • Employee referral bonus program
  • Location-specific medical and dental insurance
  • Retirement or pension plans
  • Life or accident insurance protection
  • Prague workspace with full technical setup and a 200 m² terrace

Saistītās vakances

Terumo Medical Corporation

Region Manager, Terumo Interventional Systems Sales

Terumo Medical Corporation

Lead medical device sales across a North Central New Jersey region, managing field teams and hospital relationships. Drive regional revenue, sales performance, and compliant promotion of Terumo Interventional Systems products.

Atvērt