Most consumers know Wish.com for its entertaining shopping experience. Users can browse a feed of unique goods curated based on personalized recommendations. One might come across items such as keychain-sized kitchen cleavers, a crossbow and a mini-microphone all in the same feed.
Behind the scenes, the company has harnessed technology and data science to drive this discovery-based experience. On its website, the e-commerce giant says it “fosters a hyper-growth, data-driven environment that encourages teams to learn and iterate quickly, to use data to guide decisions, and to be transparent with findings. We follow the data trail wherever it leads.”
Since launching in 2010, the San Francisco-based company has grown to 1,100 employees around the globe, but they’re not done adding to the roster. In a company that follows the “data trail,” there is a high demand for data pros who have the ability to lead people. In addition to technical mentorship, team leads need to manage and grow talent to keep pace with the scaling of the product.
Interested in stepping up to that challenge? Built In SF talked to Rachel Wang, the director of data science at Wish, to get her advice for those looking to move into leadership at a data-driven company.
What appealed to you about managing a data science team?
I was passionate about the possibility of making bigger impacts together with a group of smart, dedicated people. After a few years of working as a data science manager, I found myself having a much more in-depth understanding of people and different kinds of talents. Managing a data science team turned out to be a very rewarding journey of personal growth.
What does a data team leader do at Wish?
- Manage a team of diverse data skill sets
- Structure a medium- to large-sized data team for success
- Research product opportunities and help build business cases
- Design A/B experiments in a fast-moving environment
- Collaborate with product, engineering and design teams
- Stay up to date with the latest analytical trends and motivate the team to do the same
- Serve as the data point of contact for the entire product organization
What skills do data scientists need to develop when they move into a management role?
To move into a management role, data scientists need to be used to influencing people and decisions much more frequently. They need to develop skills in business strategy, communication and engaging in sometimes difficult conversations, as well as the capability of working through undefined and ever-changing business landscapes.
Data Career Outlook
What advice would you give to a data scientist who is managing a team for the first time?
Be bold to do what you believe is right instead of waiting, but be very open to feedback and then be ready to adjust at all times. Provide space for your team members so you have the opportunity to see them shine independently. Always remember to first build trust with all parties that you are working with.
To move into management, data scientists need to be used to influencing people and decisions much more frequently.”
