Lead Data Scientist

We are seeking a Lead Data Scientist to join our team.

In this position, you will spearhead the use of advanced data science and machine learning methodologies to tackle intricate supply chain issues, enhance processes, and support better decision-making. Working independently while collaborating with Supply Chain engineering teams, you will develop and deploy impactful solutions that utilize AI and data-driven innovations to shape our supply chain strategy.

Responsibilities

• Build, refine, and implement cutting-edge machine learning models and algorithms designed for supply chain needs, including demand forecasting, inventory management, network design, and logistics optimization
• Collaborate with Supply Chain engineering teams to gather insights into their workflows, technical limitations, and data requirements
• Oversee the entire lifecycle of data science projects, from defining challenges and analyzing data to deploying models and monitoring their performance
• Leverage expertise in Generative AI to design applications that incorporate AI capabilities
• Utilize skills in time-series analysis, forecasting, and statistical modeling to analyze supply chain data and external datasets
• Conduct comprehensive data analyses to identify trends, patterns, and opportunities for enhancing supply chain operations
• Deliver insights, findings, and technical concepts to diverse audiences using clear presentations and visualizations
• Stay informed on advancements in AI and supply chain technologies, experimenting with new methods and approaches
• Create and implement solutions for batch and real-time algorithms, including tools for monitoring, logging, automated testing, performance evaluation, and A/B testing

Requirements

• Bachelor’s or Master’s degree in Computer Science, Statistics, Data Science, Supply Chain Management, or a similar field
• A minimum of 5 years of experience in data science and machine learning, with a specialization in supply chain applications
• At least 1 year of experience leading and managing development teams
• Proficiency in cloud computing platforms like AWS, Azure, or GCP, as well as experience with machine learning tools such as MLFlow
• Advanced knowledge of both relational SQL and NoSQL databases
• Strong programming skills in languages such as Python, R, Scala, or Rust, along with experience in machine learning frameworks and libraries
• Deep understanding of supply chain concepts, processes, and data structures
• Demonstrated ability to deploy data science solutions that enhance supply chain performance
• Outstanding problem-solving skills and analytical thinking for addressing complex challenges creatively
• Strong communication skills, enabling collaboration with cross-functional teams and explaining technical concepts to non-technical stakeholders
• Enthusiasm for keeping up with industry advancements and sharing knowledge within the team
• Practical experience with Generative AI services and open-source models
• Self-motivated with the ability to independently manage projects and drive them to completion
• Proven ability to excel in dynamic, fast-paced environments
• Proficiency in English, both written and spoken, at a B2+ level or higher

Nice to have

• Familiarity with distributed computing tools like Spark
• Expertise in deep learning frameworks such as TensorFlow or PyTorch, with hands-on experience in developing complex AI systems

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• 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