Logo for EPAM Systems

Lead Data Scientist with Prophet, Python

EPAM Systems

Role overview

Qualifications

  • 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
  • Strong command of time-series cross-validation and explainable AI

Responsibilities

  • 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

Key facts

Hard skills

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.
See all jobs

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

We're looking for a Lead Data Scientist to create data-driven "should-cost" models that predict fair pricing for goods and services, using time-series and econometric approaches to power procurement analytics. Responsibilities 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 Requirements 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

Related jobs

Logo for EPAM Systems

Senior Data Scientist with Prophet, Python

EPAM Systems · 4 days ago

Remote from Europe, Asia, EMEA, APAC, Georgia (country), Belarus, Uzbekistan, Kazakhstan, Kyrgyzstan · Full time

Logo for EPAM Systems

Lead Data Scientist with AI and Cloud

EPAM Systems · 4 days ago

Remote from Europe, Asia, Middle East, EMEA, APAC, Turkey, Georgia (country), Belarus, Uzbekistan, Kazakhstan, Kyrgyzstan · Full time

Logo for EPAM Systems

Senior Data Scientist with Linear programming, Oil & Gas

EPAM Systems · 4 days ago

Remote from Europe, Asia, EMEA, APAC, Georgia (country), Belarus, Uzbekistan, Kazakhstan, Kyrgyzstan · Full time

Logo for EPAM Systems

Lead Data Scientist with Linear programming, Oil & Gas

EPAM Systems · 4 days ago

Remote from Europe, Asia, Middle East, EMEA, APAC, Turkey, Georgia (country), Belarus, Uzbekistan, Kazakhstan, Kyrgyzstan · Full time

Logo for EPAM Systems

Senior Data Scientist with PyTorch

EPAM Systems · 4 days ago

Remote from Europe, Asia, EMEA, APAC, Georgia (country), Belarus, Uzbekistan, Kazakhstan, Kyrgyzstan · Full time

See all Data Scientist jobs

Other jobs at EPAM Systems