Tech Stack

Description

You will research, develop, and implement optimization models that directly support live ecommerce retail operations at scale. Write production-grade, computationally efficient code for near real-time decision-making. Collaborate with engineering, product, and business stakeholders to deliver best-in-class solutions.

Requirements

• Bachelor's degree in mathematics, statistics, operations research, data science, or a related discipline.
• 2+ years of experience developing and implementing optimization models, preferably at enterprise scale.
• 2+ years of experience writing production-quality code in Python.
• 2+ years of experience developing and deploying solutions on cloud platforms (Azure, Databricks, etc.).
• Proficiency in querying and manipulating large datasets from relational databases.
• Expertise in data wrangling, cleaning, and preparation.
• Ability to present technical solutions to a non-technical audience.
• Strong analytical and creative problem-solving skills.

Responsibilities

• Research, develop, and implement optimization models that directly support live ecommerce retail operations at scale.
• Write production-grade, computationally efficient code that supports near real-time decision-making for in-store and ecommerce operations.
• Lead the development and delivery of analytical plans to support client roadmaps, ensuring the adoption of best practices and innovative ideas.
• Collaborate with stakeholders to understand business objectives, designing and delivering best-in-class solutions.
• Partner with engineering, product, and research teams to implement best practices for analysis, storage, and quality assurance.
• Conduct analytic experiments and explore emerging methods to support project development and business objectives; share findings with the team.