Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop personalized product recommendations using machine learning for eCommerce.
- Company: Join the largest social media company with over 2 billion users and a mission to connect people.
- Benefits: Enjoy a diverse and inclusive workplace with support for under-represented groups and accommodations for disabilities.
- Why this job: Be part of a fast-growing team, making a real impact in the eCommerce space with strategic input.
- Qualifications: Strong interest or experience in data science, ads, eCommerce, and machine learning is essential.
- Other info: This is a unique opportunity to shape a new team and drive significant business outcomes.
The predicted salary is between 43200 - 72000 £ per year.
This role
Shops Ads, Buyer Personalisation – (London)
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
Client Description
Our Client is the largest social media company in the world. They have substantial B2B and B2C advertising and media platforms, as well as a nonprofit initiative. With the mission of bringing people together, they now boast over 2 billion users, and are rapidly developing as they influence the world around us.
Aquent is dedicated to improving inclusivity & is proudly an equal opportunities employer. We encourage applications from under-represented groups & are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence.
#J-18808-Ljbffr
Data Scientist employer: Aquent GmbH
Contact Detail:
Aquent GmbH Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarize yourself with the latest trends in machine learning and personalization, especially in the context of eCommerce. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Showcase your analytical skills by preparing case studies or examples from your past work where you've used data to drive business decisions. This will demonstrate your ability to apply technical skills to real-world problems.
✨Tip Number 3
Network with current employees or professionals in the field of data science and eCommerce. Engaging with them can provide insights into the company culture and expectations, which can be invaluable during the interview process.
✨Tip Number 4
Prepare to discuss how you would approach strategic investment areas within the team. Think about potential projects or improvements that could enhance product ranking and user experience, as this shows your proactive mindset.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Scientist position. Understand the key responsibilities, required skills, and the impact you can have on the team and the company.
Highlight Relevant Experience: When writing your CV and cover letter, emphasize your experience in data science, particularly in ads and eCommerce. Include specific projects or achievements that demonstrate your skills in machine learning and personalization.
Showcase Communication Skills: Since the role requires clear communication with stakeholders, provide examples in your application of how you've successfully communicated complex data insights to non-technical audiences.
Tailor Your Application: Customize your application materials to reflect the values and mission of the company. Mention your interest in inclusivity and how you align with their commitment to diversity in the workplace.
How to prepare for a job interview at Aquent GmbH
✨Show Your Passion for ML and Personalization
Make sure to express your enthusiasm for machine learning and personalization during the interview. Share specific examples of projects or experiences where you've applied these concepts, especially in eCommerce or advertising.
✨Understand the Business Impact
Be prepared to discuss how your technical skills can address critical business questions. Think about how data science can drive revenue growth and improve user experience, and be ready to share your insights.
✨Communicate Clearly with Stakeholders
Since this role involves aligning with various stakeholders, practice articulating your ideas clearly. Use simple language to explain complex data concepts, ensuring that everyone understands your perspective.
✨Familiarize Yourself with the Team's Goals
Research the team's current projects and goals, particularly around product ranking and user interaction. Showing that you understand their objectives will demonstrate your genuine interest in contributing to their success.
