Senior/III Data Scientist

Job Description

We are looking for a Senior Data Scientist with at least seven years of experience implementing machine-learning models and conducting advanced data analysis for production-level systems. The ideal candidate should have a strong background in logistics, particularly in supply chain optimization or logistics network optimization. This position will support America's geography under the IS organization and is part of a department that aims to enhance the operations of over 70 offices across multiple countries. This role is crucial and requires working within a highly collaborative and agile team that solves business challenges using data, technology, and good old-fashioned ingenuity and works exclusively on projects with the highest potential to impact the bottom line of the Americas.

Successful candidates must be able to:

Break down complex problems, identify relevant data and methodologies, and develop innovative solutions.

Convey complex insights to non-technical stakeholders and collaborate with cross-functional teams.

Stay updated with the latest advancements in data science through self-study, workshops, and online communities.

Major Duties and Responsibilities

Develop and deploy advanced machine learning models to optimize logistics processes and improve supply chain efficiency.

Conduct thorough analysis of large-scale datasets to identify opportunities for optimization and efficiency gains.

Collaborate with cross-functional teams, including operations, engineering, and business development, to understand business requirements and translate them into actionable insights.

Lead initiatives to design and implement algorithms for route optimization, consolidation optimization, and demand forecasting.

Stay current with industry trends and best practices in logistics and supply chain management and apply them to enhance our operations.

Ensure proper architecture, engineering, and cybersecurity with all solutions.

Develop within company standards and SDLC.

Document all learnings and solutions.

Collaborates and promotes best practices within the team and department.

Support agile work processes and keep work management systems current (e.g., Azure DevOps)