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Coupa Software
Coupa Software
1 001 – 5 000 Xodimlar
H1B vizasi homiysiKonsaltingLogistikaSog‘liqni saqlash
Coupa Software tashkilotlarga xaridlar, moliya, ta’minot zanjiri va IT xarajatlarini boshqarishda yordam beradigan biznes xarajatlarini boshqarish yechimlarini ishlab chiqadi. Uning platformasi hisob-fakturalarni yuritish, to‘lovlar, xarajatlarni boshqarish, yetkazib beruvchilar bilan munosabatlarni boshqarish va ta’minot zanjiri hamkorligini qo‘llab-quvvatlaydi. Platforma sun’iy intellektni ma’lumotlar tahlili bilan birlashtirib, tejash imkoniyatlarini aniqlash, muvofiqlikni yaxshilash va operatsion xatarlarni kamaytirishga yordam beradi. Coupa avtomobilsozlik, sog‘liqni saqlash, chakana savdo, logistika va konsalting kabi sohalardagi tashkilotlarga xizmat ko‘rsatadi hamda yanada samarali va barqaror biznes faoliyatiga qaratilgan hamkorlar va mijozlar hamjamiyatini birlashtiradi.
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Kompaniyadagi ish o‘rinlari

Senior Data Scientist, Sourcing AI, Prague Hybrid

Develop sourcing AI for Coupa’s spend management platform, taking models from real-world problem definition through production. Work across supplier discovery, forecasting, optimisation, and document understanding.

CZChexiyaGibridTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMa’lumotlar olimi
PythonSQL

Tavsif

  • Lead sourcing research from framing problems with real spend data through experimentation and production deployment
  • Create new sourcing approaches without depending on established baselines or ready-made solutions
  • Build datasets, labels, benchmarks, and supervision signals from historical events and outcomes
  • Plan and execute fast experiments, prototypes, baselines, and offline assessments
  • Extend Coupa’s internal T-LLM foundations for RFPs, specifications, quotes, and contracts
  • Account for inference cost, response time, resilience, and recommendation failure modes
  • Partner with Coupa’s Sourcing product, data, and AI Platform teams
  • Record technical decisions and help strengthen team practices
  • Investigate supplier recommendation and retrieval, forecasting and should-cost models, game theory and mechanism design, combinatorial optimisation, and multimodal document understanding

Talablar

  • At least five years of experience in applied machine learning, data science, ML engineering, or quantitative research
  • A track record of deploying models or decision systems in production
  • Advanced Python proficiency
  • Experience working with SQL and large, untidy datasets
  • Expertise in at least one of these areas: deep learning, recommendation and ranking, forecasting and time series, optimisation 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 discipline
  • A rigorous approach to data leakage, baselines, and evaluation that reflects production conditions
  • Ability to work effectively in greenfield and ambiguous problem spaces
  • Interest in procurement, supply chains, or market design is useful but optional

Imtiyozlar

  • Access to frontier LLMs, high-end GPUs, and large-memory training clusters
  • Funding for relevant conference attendance
  • 33 days of leave covering PTO, personal days, a birthday day, and two company wellness days
  • Parental leave
  • Two paid company-wide wellness days each year
  • A paid day off for your birthday
  • 40 hours of paid volunteer leave each year
  • Confidential Employee Assistance Program available 24/7/365 at no cost
  • Zurich Travel Assist protection for business travel
  • Cash referral bonuses
  • Comprehensive medical and dental insurance based on location
  • Retirement or pension plans based on location
  • Life or accident coverage based on location
  • Prague Karlín workspace with an inspiring setting and complete technology setup
  • 200 m² terrace overlooking Prague Castle

O‘xshash ish o‘rinlari

Monese

Backend Engineer, Java and AWS — Monese

Monese
201 – 500 Xodimlar
Malakali ishchi vizasi homiysiBank ishiLogistikaSayohat
EEEstoniyaGibridTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaBackend muhandisiDasturiy ta’minot muhandisi
AWSDockerJavaKafkaKubernetesMikroservislarPostgresRedisSpringSpring Boot

Build Java services and scalable AWS microservices for Monese and Pockit’s fintech apps. Own backend systems that support financial inclusion for millions of customers.

Ochish