Tech Stack

Description

You will lead the development and delivery of analytical plans, collaborate with cross-functional partners to define and scale supply chain optimization sciences, and contribute robust, well-tested code to a multi-contributor package. This role combines software development, applied ML and optimization research, and package design to support supply chain workstreams.

Requirements

• Bachelor's degree in mathematics, statistics, analytics, data science, or a related discipline.
• 2+ years of experience using advanced algorithms, programming languages, or technologies to develop technical analytics solutions or capabilities.
• 2+ years experience developing and implementing enterprise-scale machine learning and/or optimization models.
• Proficiency in querying data from relational databases.
• Experience using Python, or similar statistical software to develop analytical solutions.
• Expertise in data wrangling, data cleaning and preparation, and dimensionality reduction.
• Ability to create computationally efficient solutions.
• Strong analytical, creative problem-solving, and decision-making skills.
• Strong business acumen; grocery and/or supply chain experience is a plus.
• Passionate about data, analysis, and insights.
• Natural curiosity that embraces change and a willingness to try new things and learn from failure.
• Ability to work in a highly collaborative environment.

Responsibilities

• Lead the development and delivery of analytical plans to support client roadmaps, ensuring the adoption of best practices and innovative ideas.
• Scope and manage work from inception to completion, ensuring timely delivery to specifications.
• Develop and support MLOPs for production sciences.
• Collaborate with stakeholders to understand client objectives and customer insights, designing best-in-class solutions.
• Partner with engineering, product, and research teams to implement best practices for analysis, storage, and quality assurance.
• Implement software solutions using best practices of coding standards and quality assurance with regards to maintainability and testing.
• Identify opportunities for standardization and automation of existing solutions/processes, contributing to enhancements that maximize team potential and stakeholder value.
• Interpret business results and develop actionable recommendations from data analysis to build relevant customer stories for stakeholders.
• Challenge and improve 84.51° analytic capabilities, solutions, and best practices.
• Follow best practices in space/resource management to ensure efficient utilization of analytic resources and timely delivery of business deliverables.
• Partner with leaders across projects to prioritize work, identify risks and opportunities, and streamline team execution.
• Support the near real-time science delivery of optimization models.