Overview
On Site
BASED ON EXPERIENCE
Contract - W2
Contract - Independent
Contract - 6+ mo(s)
Skills
SKILLS TO BE ASSIGNED
Job Details
Data Scientist III
Remote, PST
6 months (till the end of the year)
Pay rate range: $85/hr. on w2
Summary:
[IC5 Browser Intelligence] - Area Description
Overview
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
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 e-commerce.
An interest in ML & personalization to help accomplish better performance of our surfaces.
Ability to communicate clearly and drive alignment with stakeholders
Must-Have Skills:
1. SQL, Python and ML
2. Excellent Communication skills, General ability to interact with sheets
3. Calculation of sheets, Good maths And good at Stats, Strong Logical and numerical reasoning
Nice-to-have Skills:
1. Interest in ML
2. Big Tech Exp
Years of Experience: 6+
Degrees/Certifications Required: Bachelors, Quantitative degree preferred
Remote, PST
6 months (till the end of the year)
Pay rate range: $85/hr. on w2
Summary:
[IC5 Browser Intelligence] - Area Description
Overview
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
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 e-commerce.
An interest in ML & personalization to help accomplish better performance of our surfaces.
Ability to communicate clearly and drive alignment with stakeholders
Must-Have Skills:
1. SQL, Python and ML
2. Excellent Communication skills, General ability to interact with sheets
3. Calculation of sheets, Good maths And good at Stats, Strong Logical and numerical reasoning
Nice-to-have Skills:
1. Interest in ML
2. Big Tech Exp
Years of Experience: 6+
Degrees/Certifications Required: Bachelors, Quantitative degree preferred
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