Data Scientist – Business Messaging Monetization
Company Name:-
Facebook
Job Location:-
Menlo Park, CA 94025
Job Summary:-
We believe that messaging will be the primary way people connect with businesses.
Research shows that over 63% of people across generations prefer messaging a business over using phone or email.
On Messenger, Instagram and WhatsApp were seeing incredible growth as people message businesses to build relationships, ask questions, and get support.
And were still in the early days of capturing an immense opportunity more than 2 billion person-to-business communications happen each day, mostly through legacy channels like phone and email.
Conversational Ads are emerging as one of the most promising levers to grow and monetize business messaging.
And we are looking for Data Scientist to work on such fast growing conversational ad product i.
e.
Click to WhatsApp.
Click to WhatsApp leverages the power of Facebook and Instagram reach and WhatsApps core functionality of delightful and private messaging.
It allows businesses to target users in Facebook, Instagram and other properties across Facebook, Inc.
These ads enable the businesses to open WhatsApp threads and start interacting with users over WhatsApp.
For example: A business which sells apparel, uses Click to WhatsApp ads to open threads with customers where they sell the product, provide discount and accept payments from customers.
It is one of the fastest growing ads product used by millions of small businesses (many without websites) to support and scale their businesses.
This is particularly important during the current pandemic.
The product is in a sweet spot, where it has already proven strong product market fit and generating meaningful revenue.
But its also in the early stage, so plenty of scope to make foundational impact.
For this role, we are looking for a strong Data Scientists who will be passionate to drive our strategy to grow Click-To-WhatsApp ads and deliver more value to millions of small businesses that use this product.
Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products
Partner with Product and Engineering teams to solve problems and identify trends and opportunities
Inform, influence, support,
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