AfterShip is looking for an organized, data-driven, and curious team player to work cross-functionally across the data, product, marketing, finance, and operations teams. As a Director of Data, you will lead the data scientist and machine learning function to deliver foundational technology to the future success of the company. We have a multitude of dynamic opportunities that sit at the core of our product strategy that are ripe for machine learning to enable us to optimize and excel. A successful leader in this role will have experience developing a Data organization and establishing a technology platform that will enable AfterShip to succeed for years to come. This role will be expected to lead Data projects across all domains of the company, grow and retain talent, and be a champion for best practices. This role is for a player-coach. We are looking for someone who still desires to be hands-on in the codebase and working alongside the team to execute.
We are experiencing rapid growth, and we are now looking for an experienced leader to bring their expertise, data-driven approach, and cross-cultural knowledge to help us create and execute the strategies that will allow us to scale across the globe.
Key Responsibilities:
- Develop a Data organization and infrastructure that will support AfterShip’s growth and success
- Establish a vision and goals for Data & AI at AfterShip that reflects the company’s desire to grow and succeed
- Hire, mentor, and grow the Data & AI team members and ML skillset across the company
- Set high standards for engineering excellence and drive innovation
- Utilize industry best practices to consistently deliver high-caliber, scalable solutions while managing competing priorities and cost
- Leverage your prior experience to develop new and innovative solutions that will reflect and incorporate rapidly changing industry trends
- Embody AfterShip’s core values and enact them in your day-to-day leadership
You are/have:
- Significant experience (10 years +) working in data science or machine learning with a proven record of incremental changes that improved product metrics with machine learning technologies
- Proven experience leading multiple technical teams of Machine Learning Engineers or Data Science team
- Solid background in machine learning fundamentals, modeling techniques and productionizing machine learning models
- Deep knowledge of software architecture and engineering best practices, especially modern cloud computing stacks for deploying machine learning and microservices at scale especially on Snowflake
- Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders.
Why You Should Join Us:
- We’re proud to say that Aftership is on an exceptional growth trajectory:
- This fantastic team has doubled our YOY revenue since 2014.
- We’ve recently secured $66 million in Series B funding — led by Tiger Global Management. Why is this important? Because not only do we have the will to grow aggressively, we also have the means.
- We’re still a very small team and there’s no limit to what you can achieve with us. You’ll teach us, you’ll learn from us, and we’ll grow together.
- Because we value personal and professional growth above all else, you can count on us to invest in your development. We will support you with tools, resources, time, an open-door policy, and most importantly, creative freedom.
- Most of us are geeks, some of us are nerds, and all of us are compassionate, caring, kind, and want to form a cohesive team.
- We’re diverse in our backgrounds, origins, locations, views, and processes, and we support each other in various ways.
