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Senior Data Scientist with Prophet, Python

EPAM Systems

Role overview

Qualifications

  • 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

Responsibilities

  • 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

Key facts

Hard skills

Other skills

  • Communication

About the company

EPAM Systems logo

EPAM Systems

  • IT Services & Consulting
  • XLarge
  • 10,001+
Since 1993, EPAM Systems, Inc. (NYSE: EPAM) has used its software engineering expertise to become a leading global provider of digital engineering, cloud and AI-enabled transformation services, and a leading business and experience consulting partner for global enterprises and ambitious startups. We address our clients’ transformation challenges by fusing EPAM Continuum’s integrated strategy, experience and technology consulting with our 30+ years of engineering execution to speed our clients’ time to market and drive greater value from their innovations and digital investments. We make GenAI real with our AI LLM orchestration, testing and engineering solutions, EPAM DIAL, EPAM EliteA™ and EPAM AI/RUN™, respectively. We deliver globally, but engage locally with our expert teams of consultants, architects, designers and engineers, making the future real for our clients, our partners and our people around the world. We believe the right solutions are the ones that improve people’s lives and fuel competitive advantage for our clients across diverse industries. Our thinking comes to life in the experiences, products and platforms we design and bring to market. Added to the S&P 500 and the Forbes Global 2000 in 2021 and recognized by Glassdoor and Newsweek as a Top 100 Best Workplace, our multidisciplinary teams serve customers across six continents. We are proud to be among the top 15 companies in Information Technology Services in the Fortune 1000 and to be recognized as a leader in the IDC MarketScapes for Worldwide Experience Build Services, Worldwide Experience Design Services and Worldwide Software Engineering Services. Learn more at www.epam.com.
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Job description

We are seeking a Senior Data Scientist to build data-driven "should-cost" models that estimate what goods and services ought to cost, leveraging time-series and econometric methods to support procurement analytics. Responsibilities 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 Requirements 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

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