Data scientist

грейд
lead
формат
удалённо
страна
Казахстан
язык
Английский B2
опубликована
сегодня

описание

Описания нет

задачи

  • Build "should-cost" models through time-series and econometric methods
  • Integrate macroeconomic factors and economic indicators as cost drivers
  • Model relationships linking commodity prices, spend data, and external economic variables
  • Ensure model outputs are interpretable to stakeholders by highlighting the factors behind each cost estimate
  • Use time-series cross-validation techniques to guarantee model reliability
  • Guard against data leakage and overfitting within time-series models
  • Differentiate between correlation and cointegration, identifying when each is applicable
  • Choose appropriate features for econometric and time-series models
  • Utilize spend data and commodity price indexing to enhance procurement analytics

требования

  • 5+ years in data science, specializing in econometric and time-series modeling
  • Skilled in Python, Prophet, and Chronos
  • Background in procurement analytics, including spend data and commodity price indexing
  • Knowledge of economic indicators, spend analysis, commodity pricing, and supplier diversity metrics
  • Strong command of time-series cross-validation and explainable AI
  • Demonstrated skill in preventing data leakage and overfitting in time-series models
  • Clear grasp of the distinction between correlation and cointegration, and their respective use cases
  • B2-level English proficiency or above

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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