EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are looking for a Senior Data Scientist to join our team.

In this role, you will take the lead in applying advanced data science and machine learning techniques to address complex supply chain challenges, optimize processes, and improve decision-making. You will work autonomously while collaborating with Supply Chain engineering teams to develop and implement impactful solutions, leveraging cutting-edge AI and data-driven strategies to shape our supply chain vision.

Responsibilities

Design, develop, and implement advanced machine learning models and algorithms tailored to supply chain applications, such as demand forecasting, inventory optimization, network design, and logistics optimization
Collaborate closely with Supply Chain engineering teams to understand business processes, technical constraints, and data requirements
Manage end-to-end data science projects independently, including problem definition, data exploration, model development, deployment, and performance monitoring
Utilize expertise in Generative AI to create applications that integrate AI services
Apply knowledge of time-series analysis, forecasting, and statistical modeling techniques to supply chain data and external data sources
Perform detailed data analysis to uncover trends, patterns, and areas for improvement across the supply chain
Present findings, insights, and technical concepts to both technical and non-technical audiences through effective visualizations and presentations
Stay updated with the latest advancements in AI and supply chain technologies, experimenting with emerging techniques and solutions
Develop and implement end-to-end solutions for batch and real-time algorithms, including monitoring, logging, automated testing, performance testing, and A/B testing

Requirements

Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, Supply Chain Management, or a related field
At least 3 years of experience in data science and machine learning, with a focus on supply chain applications
Proficiency in cloud computing platforms such as AWS, Azure, or GCP, along with experience using ML tools like MLFlow
Expertise in working with both relational SQL and NoSQL databases
Advanced programming skills in languages like Python, R, Scala, or Rust, along with experience using machine learning libraries and frameworks
Strong understanding of supply chain principles, processes, and data structures
Proven experience in deploying data science solutions that improve supply chain performance
Exceptional problem-solving abilities and analytical skills for tackling complex challenges creatively
Effective verbal and written communication skills for collaborating across teams and explaining technical concepts to non-technical stakeholders
Passion for staying informed about industry trends and sharing knowledge with team members
Hands-on experience with Generative AI services and open-source models
Ability to work independently and manage projects with minimal supervision
Experience thriving in fast-paced, dynamic work environments
Fluent English proficiency, both written and spoken, at a B2+ level or higher

Nice to have

Experience with distributed computing frameworks such as Spark
Strong knowledge of deep learning frameworks like TensorFlow or PyTorch, with hands-on experience developing complex AI models

We offer