Nowadays, everyone is talking about data science, but not many people know what a Product Data Scientist really does. I also had the same doubt, so I asked one of my LinkedIn connections who works in a big e-commerce company. He explained it to me in simple words, and now I’ll share it with you.
First of all, a Product Data Scientist is not just sitting and coding all day. Their main job is to understand the product—like a shopping app, a food delivery app, or even a banking app—and then use data to make it better. For example, in Zomato or Swiggy, they see which restaurants are getting more orders, why some dishes are popular, and how to show the right food to the right customer. They don’t just collect data; they tell the product team what to do with it.
One of their big tasks is A/B testing. Suppose Flipkart wants to change the color of the “Buy Now” button from blue to red. The Product Data Scientist will run a test—some users see blue, some see red—and then check which color gets more clicks. If red works better, they’ll tell the team to use red. Simple, right? But this small change can increase sales by a lot.
They also work on recommendation systems. Ever noticed how Amazon shows you “Customers who bought this also bought that”? That’s the work of a Product Data Scientist. They use your past purchases, searches, and even how long you looked at a product to suggest what you might like next. It’s like a shopkeeper who remembers what you buy every time and keeps those items ready for you.
Another important part is understanding user behavior. They look at data to see why people are leaving the app without buying anything. Maybe the checkout process is too long, or maybe the delivery charges are too high. They find these problems and suggest fixes. For example, if many users are dropping off at the payment page, they might recommend adding more payment options like UPI or cash on delivery.
But it’s not all about numbers. A good Product Data Scientist also talks to the product managers, designers, and engineers. They have to explain their findings in a way that non-technical people can understand. So, they need to be good with both data and communication.
Lastly, they keep tracking the performance of the product. After any change—like a new feature or a discount offer—they check if it’s working or not. If sales go up, great! If not, they figure out what went wrong and try something else.
So, in short, a Product Data Scientist is like a detective + guide + decision-maker for the product team. They don’t just play with data; they use it to make the product smarter, easier to use, and more profitable.
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