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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 dynamic work environment with opportunities for growth and inclusivity.
- Why this job: Be part of a fast-growing team making a real impact in the eCommerce space.
- Qualifications: Strong interest or experience in data science, ads, and eCommerce is essential.
- Other info: Aquent values diversity and provides support for applicants with disabilities.
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.
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Data Scientist employer: Aquent
Contact Detail:
Aquent 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 eCommerce and advertising. Understanding how personalization and machine learning are shaping these fields will give you an edge in discussions during interviews.
✨Tip Number 2
Showcase your ability to communicate complex data insights clearly. Since this role involves driving alignment with stakeholders, practice explaining your past projects in a way that highlights your impact on business decisions.
✨Tip Number 3
Network with professionals in the eCommerce and advertising sectors. Engaging with industry experts can provide valuable insights and potentially lead to referrals, which can significantly boost your chances of landing the job.
✨Tip Number 4
Prepare to discuss specific examples of how you've used machine learning to solve real-world problems. Being able to articulate your technical skills in a practical context will demonstrate your readiness for this role.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Understand the Role: Take the time to thoroughly read the job description for the Data Scientist position. Understand the key responsibilities, required skills, and the impact you can make in the role.
Highlight Relevant Experience: When crafting your CV and cover letter, emphasize your experience with machine learning, personalization, and eCommerce. Provide specific examples of projects or analyses you've conducted that align with the job requirements.
Showcase Communication Skills: Since the role requires clear communication with stakeholders, include examples in your application that demonstrate your ability to convey complex data insights effectively.
Tailor Your Application: Customize your CV and cover letter to reflect the language and values mentioned in the job description. This shows that you understand the company's mission and are genuinely interested in the position.
How to prepare for a job interview at Aquent
✨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 how you've applied these concepts in previous projects or how you envision using them to enhance user experiences in eCommerce.
✨Understand the Business Impact
Be prepared to discuss how your technical skills can address critical business questions. Research the company's current challenges and think about how your analysis could drive strategic investment areas, ultimately leading to significant impact.
✨Communicate Clearly with Stakeholders
Since the role requires alignment with various stakeholders, practice articulating your ideas clearly and concisely. Prepare to explain complex data science concepts in a way that is accessible to non-technical team members.
✨Familiarize Yourself with the Team's Goals
Research the team's objectives and the products they are working on. Understanding their current projects and growth ambitions will help you tailor your responses and demonstrate that you're aligned with their vision for the future.
