Data Scientist

About the Role

Key Responsibilities

• Derives analytical requirements, selects and executes appropriate mathematical methods and interprets the results in consultation with the business teams.
• Implements pilots or POCs for prioritized use cases with country/regional/functional teams.
• Applies mathematics, statistics, predictive modelling and machine learning techniques to develop and productize predictive and prescriptive models for decision making and to optimize processes.
• Supports and coaches junior data scientists or data analysts in global and local teams.
• Liaises with other experts cross-functionally to share best practices.
• Identifies opportunities for applying advanced optimization techniques across the supply chain.
• Architects the development of new cloud based supply chain enterprise systems and applications, determining key design elements, technical specs, platforms and coding standards in Python or Java.
• Defines the business questions that need be answered and determines appropriate analytical models and approaches to solving such problems.
• Patents approaches and works with leading universities in researching future opportunities.

Requirements

• Minimum of two (2) years of experience in data science-related roles.
• Proficiency in object-oriented programming languages such as Python and Java.
• Demonstrated experience in analyzing complex problems and deriving creative recommendations through data science.
• Strong communication skills with fluency in written and spoken English.
• Willingness to work in a dynamic, diverse, and intercultural environment.

Nice to Have

• Experience in developing GenAI applications.
• A good understanding of supply chain business and the logistics IT landscape (WMS, TMS).

Qualifications

• Educational background is not explicitly specified, but at least two years of relevant experience is required.

Benefits & Perks

• Competitive wages.
• Excellent affordable insurance benefits (including health, dental, vision and life).
• 401K plan.
• Paid vacation and holidays.