Staff Data Scientist - Route Building

About Veho

Veho is the post-purchase experience company that unlocks the potential of everyday consumers and brands to fully participate in e-commerce. Building an entirely new end-to-end logistics infrastructure, powered by the latest technology and designed for the modern era of shopping, Veho is reinventing shipping, and all parts of the post-purchase experience as we know it. By removing the pain from delivery and returns, Veho is creating powerful opportunities for brands to engage and build deep loyalty with their customers like never before.

About The Role

As a Staff Data Scientist - Route Building, you’ll be the senior data scientist responsible for defining, building, and operating sophisticated models to answer hard questions centered around improving our logistics network and user experiences. You’ll partner with product managers to understand high-value business problems, build systems that inform daily operations. You’ll work closely with software engineers to operationalize the models you build in the production systems that drive Veho.

Responsibilities Include

• Lead projects on our Core Route Building Data Science team, driving projects from a data science methodology and implementation perspective
• Develop and implement models to solve complex problems using operations research, statistics, and machine learning technologies
• Lead our collaboration with functional areas (last mile, middle mile, ground operations, network planning) to develop and optimize our network across the board
• Drive the understanding of our current processes via exploratory data analysis, surfacing high-impact project ideas.
• Deep dive into current data science solutions to develop insights and provide recommendations
• Implement improvement initiatives that impact metrics and streamline network operations
• Communicate with technical and business-oriented audiences
  
  

What You Bring

• Master or PhD in data science, (applied) mathematics, operations research or similar field, plus 5+ years developing and deploying optimization, predictive, and machine learning models
• Strong knowledge of statistical modeling, ML and DS techniques to solve business problems
• Strong practical knowledge of supply chain optimization and forecasting in the logistics or last mile delivery space, implementing large-scale solutions to drive business impact
• Proven experience in leading cross-functional projects with Product, Ops, and Engineering partners.
• Software development experience deploying Operations Research and Data Science solutions into production
• Knowledge in operations research concepts such as mixed-integer programming (MIP), network optimization, and simulation.
• Expert SQL and Python skills
• Familiarity with the gig economy space (preferred)