About this role
Lead the development and implementation of automation tools and GenAI initiatives to optimize GSF operations Design and deploy data-driven solutions to improve operational efficiency Analyze complex datasets to identify optimization opportunities and develop predictive models for capacity planning Create and maintain dashboards and reporting systems for operational metrics Collaborate with stakeholders to implement technical solutions for warehouse management Drive process improvements through technical innovation and data analysis Manage end-to-end project lifecycle for technology implementations Technical Skills Required: Strong proficiency in Python programming and SQL Experience with data science and machine learning techniques Ability to develop and maintain ETL pipelines Expertise in data visualization tools (Tableau, Power BI, etc.) Understanding of warehouse management systems and supply chain technologies Experience with cloud computing platforms (AWS preferred) Ability to translate business requirements into technical solutions Strong analytical and problem-solving skills Experience in process optimization and automation Qualifications: Bachelor's degree in Computer Science, Data Science, Engineering, or related field 3+ years of relevant experience in technology and operations Proven track record of implementing technical solutions in operations environment Experience with agile methodologies and project management Strong communication and stakeholder management skills