At a Glance
- Tasks: Develop machine learning models to enhance marketing strategies and decision-making.
- Company: Join ASOS.com, a leading fashion retailer with a focus on innovation.
- Benefits: Enjoy employee discounts, generous leave policies, and a supportive team culture.
- Other info: Access rich datasets and thrive in a dynamic, growth-oriented environment.
- Why this job: Make a real impact in marketing through advanced data analysis and collaboration.
- Qualifications: Expertise in machine learning and experience working with technical teams.
The predicted salary is between 50000 - 70000 € per year.
ASOS.com is looking for an Applied Scientist to join their Customer & Marketing-focused machine learning team in Greater London. In this role, you will develop machine learning and statistical models that guide marketing decision-making, particularly in areas like attribution and incrementality.
Candidates should have expertise in machine learning techniques and collaboration with technical stakeholders. The position offers rich datasets and a supportive team culture, along with benefits like employee discounts and generous leave policies.
Applied Scientist: Marketing Attribution & MMM in London employer: ASOS.com
ASOS.com is an exceptional employer, offering a dynamic work environment in Greater London where innovation thrives. With a strong focus on employee growth and collaboration, team members benefit from access to rich datasets and a supportive culture that encourages creativity. Additionally, employees enjoy perks such as generous leave policies and exclusive discounts, making ASOS a rewarding place to advance your career in applied science.
StudySmarter Expert Advice🤫
We think this is how you could land Applied Scientist: Marketing Attribution & MMM in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at ASOS or similar companies. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to marketing attribution and incrementality. This will give you an edge when discussing your expertise with potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your machine learning techniques. Practice explaining your thought process clearly, as collaboration with technical stakeholders is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Applied Scientist: Marketing Attribution & MMM in London
Some tips for your application 🫡
Show Your Passion for Machine Learning:When writing your application, let us see your enthusiasm for machine learning and how it can impact marketing decisions. Share any relevant projects or experiences that highlight your skills in this area.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to reflect the specific requirements of the Applied Scientist role. Highlight your expertise in statistical models and collaboration with technical stakeholders to catch our eye!
Be Clear and Concise:We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your qualifications and experiences at a glance.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at ASOS.com
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning techniques before the interview. Be ready to discuss specific models you've worked with, especially in marketing attribution and incrementality. This will show that you’re not just familiar with the theory but have practical experience too.
✨Show Off Your Collaboration Skills
Since this role involves working with technical stakeholders, be prepared to share examples of how you've successfully collaborated in the past. Highlight any projects where teamwork was key to achieving results, as this will demonstrate your ability to fit into their supportive team culture.
✨Get Familiar with ASOS's Marketing Strategies
Do some homework on ASOS’s current marketing strategies and campaigns. Understanding their approach will help you tailor your answers and show that you're genuinely interested in contributing to their goals. Plus, it gives you a chance to ask insightful questions!
✨Prepare for Technical Questions
Expect some technical questions related to machine learning and statistical modelling. Practice explaining complex concepts in simple terms, as this will showcase your depth of knowledge and your ability to communicate effectively with non-technical stakeholders.
