58446 - Data Scientist

Data Scientist

Location: London
Length: 7 months
Rate: £50 p/h (Inside IR35)
Hours: 9am-6pm

Job Description



About Our Client

Shop Ads:

Our client is 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 Client 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 Clients 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 clients 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.

Job Responsibilities:

 

• You'll be developing a deeper understanding of products to recommend and matching those to the user & their journey stage
• Shops Ads is out of the 0 -> 1 stage, but still in a period of fast growth - we expect to >4x our revenue over the next 3 years
• We are using ML to heavily personalise the onsite journey of buyers, and you can help accelerate this further, with heavy strategic input
• This is a relatively new team with many 0->1 investment areas

The Team:
 

• The team is responsible for ranking of products users may interact with on their ecommerce journey
• The team’s current eng HC is 10 

THE IMPACT OPPORTUNITIES OR ACTIVITIES
 

• You will also have the opportunity to apply your technical skill & passion to address critical business questions
• You will perform analysis and input into strategic investment areas to help drive the team to deliver the most impact

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
• Some quantitative degree, SQL and Python experience and ML experience.
• 8-10 years’ experience