Data scientist in procurement analytics

грейд
senior
формат
удалённо
страна
Казахстан
язык
Английский B2
опубликована
сегодня

описание

Описания нет

задачи

  • Develop "should-cost" models using time-series and econometric methods
  • Incorporate macroeconomic factors and economic indicators as drivers of cost
  • Model the relationships between commodity prices, spend data, and external economic variables
  • Make model outputs explainable to stakeholders, showing which factors drive each cost estimate
  • Apply time-series cross-validation techniques to ensure model robustness
  • Prevent data leakage and overfitting in time-series models
  • Distinguish between correlation and cointegration, and determine when each applies
  • Select relevant features for time-series and econometric models
  • Work with spend data and commodity price indexing to support procurement analytics

требования

  • 3+ years of experience in data science, with a focus on time-series and econometric modeling
  • Proficiency in Python, Prophet, and Chronos
  • Experience in procurement analytics, working with spend data and commodity price indexing
  • Understanding of economic indicators, spend analysis, commodity pricing, and supplier diversity metrics
  • Expertise in time-series cross-validation and explainable AI
  • Proven ability to prevent data leakage and overfitting in time-series models
  • Understanding of the difference between correlation and cointegration, and when each applies
  • English proficiency at B2 level or higher

условия

  • Delivering innovative solutions to industry leaders, making a global impact
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
  • Opportunity to work abroad for up to two months per year
  • Relocation opportunities within our offices in 55+ countries
  • Corporate and social events
  • Leadership development, career advising, soft skills and well-being programs
  • Certifications, including GCP, Azure and AWS
  • Unlimited access to EPAM's internal learning database
  • Free English classes with certified teachers
  • Discounts in local language schools, including online courses for the Kazakh language
  • Participation in the Employee Stock Purchase Plan
  • Monetary bonuses for engaging in the referral program
  • Medical & family care package
  • Six trust days per year (sick leave without a medical certificate)
  • Coverage of psychology sessions of your choice
  • Benefits package (sports activities, a variety of stores and services)
  • Housing support program: preferential mortgage access via Otbasy Bank partnership

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