Descripción de la oferta
About Us
At Auctane, we are united by a passion to help businesses deliver — whatever their size, wherever they are, and however they operate. We make it possible for businesses to meet the ever-changing requirements of their industry and customer expectations. Auctane products enable hundreds of thousands of businesses to annually mail and ship billions of items — over $200 billion worth — to recipients around the globe.
The Auctane family of mailing and shipping software products includes ShipStation, Stamps.com, ShipStation API, Metapack, GlobalPost, and Packlink. Our partners include Amazon, UPS, USPS, eBay, BigCommerce, Shopify, WooCommerce, and Walmart.
Our valuesWin as One. Delight Customers. Deliver Great Outcomes.
About The Role
As the Data Science Manager you will lead and be responsible for the Data Science team. The Data Science team builds and maintains AI and statistical models for use in both internal and customer-facing applications. Through mentorship and guidance, the DS manager optimizes the team’s performance and delivers high quality machine learning products.
What will you be doing?
Managing a multi-member team of data scientists
Handle communication with stakeholders across the organization for all machine learning projects
Active involvement in machine learning projects for internal and customer facing applications
Ensure quality of code, processes, projects, and systems used by the team
Participate in code reviews and architectural design sessions
Provide feedback, career guidance, and growth opportunities to team members
Proactively identifying and resolving potential performance challenges within the teamLead the recruitment process for the team
Help set the technical roadmap for the team, prioritizing workload based on business value and strategic direction
Build testing frameworks that ensure all code produced is accurate, explainable, and efficient
What are we looking for?
Excellent communication skills with technical and non-technical stakeholders alike
Management experience, providing guidance and feedback to team members
Demonstrated evidence of problem solving in complex data environments
Experience leading full-stack ML / Data Science projects
Solid understanding of machine learning and statistical methods with their underlying theory and math
Experience with AWS, GCP, or Azure
Highly proficient in Python (R or Scala is also a plus)
Experience with SQL and relational databases
Experience with Git and Docker
Experience with coding agents for machine learning projects
Experience collaborating with teams across the organization, such as Data Engineering and Product
What will make you stand out?
Experience with e-commerce or shipping logistics data
Experience with geospatial analysis and graph networks
Experience with CI/CD solutions for machine learning
Experience with AI agent development
Experience with deploying cloud hosted model endpoints for real-time inference
What do we offer?
