Senior Data Scientist

2 days ago Be among the first 25 applicants 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 International projects with top brands Work with global teams of highly skilled, diverse peers Employee financial programs Paid time off and sick leave Upskilling, reskilling and certification courses Unlimited access to the LinkedIn Learning library and 22,000+ courses Global career opportunities Volunteer and community involvement opportunities EPAM Employee Groups Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn Seniority level Mid-Senior level Employment type Full-time Job function Engineering, Information Technology, and Business Development Industries Software Development, IT Services and IT Consulting, and Retail #J-18808-Ljbffr