EPAM Systems
Senior Data Scientist with Prophet, Python
- Compensation
- Not disclosed
- Location
- Belarus, Georgia, Kazakhstan, Kyrgyzstan, Uzbekistan
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 3+ years
- Category
- Data science
- Posted
Skills
Must have
- 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
Full 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
Benefits
We connect like-minded people:
- Delivering innovative solutions to industry leaders, making a global impact
- Opportunity to work abroad for up to two months per year
We invest in your growth:
- Leadership development, career advising, soft skills and well-being programs
- Unlimited access to EPAM's internal learning database
- Free English classes with certified teachers
We cover it all:
- Comprehensive medical & family care package
- Seven trust days per year (sick leave without a medical certificate)
- Discounts from 800+ partners (sports activities, restaurants, stores and services)
We connect like-minded people
- 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