We worked closely with Orderchamps CEO, CCO, head of engineering and head of product to define the data science roadmap for the coming 6-12 months. Together, we identified three areas of focus: 1) hiring, 2) the data warehouse, and 3) a world-class product discovery experience.

With the roadmap in hand, we defined the roles for their first 5 data science hires and developed an interviewing process to find the best-fitting candidates. Using our strong network in the data science community and Orderchamp’s strong internal hiring team, we were able to fill the key positions in less than 3 months.

The second goal was to improve data quality and build a well-documented robust warehouse. Orderchamp’s analysts were uniquely positioned to build the tables. They knew the data and underlying business logic better than anyone and were more than capable of writing the SQL queries to transform the data. Through a few workshops, we taught them the principles behind a strong warehouse and how to build tables through Git and DBT.

Last but not least, we kicked off a workstream to improve their product discovery experience. In close collaboration with their commercial teams and round table sessions with experts from companies like Adidas, Zalando, and Picnic we defined what a great experience looks like. Since Orderchamp is a marketplace there are many factors complicating ‘standard’ product recommendations. We need to address the needs of both retailers and brands. Furthermore, most articles are shipped directly from the brands creating the need to also reflect fulfillment and support quality to model the whole experience.

With the hires coming in, we trained them on the job for a few weeks and smoothly handed over the ongoing work. Like that, Orderchamp’s new data science team could hit the ground running with impactful projects lined up, defined, and kicked off.