Job Description

Data Scientist III

Onsite

Summary:

The horizontal ML pillar within Conversion Experiences (CE) is an integral part of the above workstream with a focus on leveraging ML/AI techniques to enhance ads personalization using Browser and Shops signals.

In App Browser

Mission: Build the best browser for advertiser performance and and deliver it to people as a seamless, core part of the Family of Apps

Strategy for Achieving

This Mission:

• Reducing user friction during the purchase journey
• Harness existing signals in the browser and creating opportunities to capture new signals
• Using machine learning to optimize post-click experiences

Shops Ads

We are building the next generation of advertising products, transforming the ads user experience and delivering unique value for advertisers. You may have heard of “Shops”, our hosted versions of e-commerce websites. The impact of this undertaking has been compared to the shift we made from desktop-only to mobile a decade ago. Shops Ads is at the absolute centre of our Commerce Strategy.

We have roles for many different DS archetypes and levels, including technical roles (heavy ML, statistics), strategic roles, ecosystems roles (big picture), and product analytics roles (building products that delight users)

What are Shops Ads?

Shops Ads is a major Commerce effort throughout the company. Shops Ads allow advertisers to optimise for purchases happening within our apps. This allows us to create a truly differentiated and relevant buyer experience as we can personalise the end to end buyer journey, from ad impression to the post-purchase experience.

What are Shops?

Shops are a mobile-first shopping experience where businesses can seamlessly create a customizable shop for their customers across the family of apps.

This will allow business owners to market their products directly to customers, and customers will be able to browse and buy products all from within our apps rather than being redirected to a website as happens when you click on ‘Buy Now’ today in our app.

THE TEAM

• Monetization ? Signal Growth ? Conversion Experiences -> ML Personalisation
• Shops Ads has made significant progress in becoming a performant ads product. As of 2024, Shop Ads has reached $2.5B Annual Revenue Run Rate and is showing sustainable performance improvements over BAU.

The Browser intelligence team:

• Leverages ML and AI to enhance ads personalization and accelerate ad performance
• Has huge growth potential as the value of signals continues to increase and the teams scope expands to include In App Browser efforts

IMPACT OPPORTUNITIES

• Shops Ads is currently undergoing a major pivot with the transition to SAoff (offsite checkout shops), with significant potential for strategic & directional input
• With the expansion into IAB there are significant opportunities to unify signal treatment and align with pre-click ML
• The team is making a strategic push into allowing for self serve ML models across teams, requiring DS input to shape direction

WHO WE’RE LOOKING FOR

• We are looking for a strong Data Scientist with experience (or at least a strong interest) in both ads and eCommerce.
• An interest in ML & personalisation to help accomplish better performance of our surfaces.
• Ability to communicate clearly and drive alignment with stakeholders

Pay range is $73 - $78 per hour with full benefits available, including paid time off, medical/dental/vision/life insurance, 401K, parental leave, and more. Our compensation reflects the cost of labor across several US geographic markets. Pay is based on several factors including market location and may vary depending on job-related knowledge, skills, and experience.

THE PROMISES WE MAKE:

At Crystal Equation, we empower people and advance technology initiatives by building trust. Your recruiter will prep you for the interview, obtain feedback, guide you through any necessary paperwork and provide everything you need for a successful start. We will serve to empower you along the way and provide the path for your professional journey.

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