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- Tasks: Innovate ML algorithms to boost advertising performance and enhance ROI.
- Company: Leading marketing tech firm with a supportive remote culture.
- Benefits: Competitive salary, mental health care, and excellent benefits.
- Why this job: Join a dynamic team and make a real impact in advertising technology.
- Qualifications: Master's or PhD in a relevant field, coding skills, and ML knowledge.
- Other info: Remote work with opportunities for professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading marketing technology firm in the UK seeks an Applied Machine Learning Scientist to join their remote engineering team. The role involves innovating ML algorithms to enhance ROI and advertising performance, writing production code, and prototyping algorithms.
We require:
- A Master's or PhD in a relevant field
- Proficiency in coding
- A solid understanding of statistics and machine learning
The company offers competitive salary, excellent benefits including mental health care, and a supportive culture.
Remote Applied ML Scientist for Advertising ROI in London employer: StackAdapt
Contact Detail:
StackAdapt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Applied ML Scientist for Advertising ROI in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the marketing tech space on LinkedIn or attend virtual meetups. We can leverage our connections to get insights and maybe even referrals for that Applied ML Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ML projects, especially those related to advertising ROI. We want to demonstrate our coding prowess and understanding of statistics in a way that stands out.
✨Tip Number 3
Prepare for interviews by brushing up on common ML algorithms and their applications in advertising. We should be ready to discuss how we can innovate and enhance ROI with our expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our application to highlight how we fit perfectly into the supportive culture they offer.
We think you need these skills to ace Remote Applied ML Scientist for Advertising ROI in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your coding prowess and any relevant projects you've worked on. We want to see how you can innovate ML algorithms, so don’t hold back on showcasing your experience!
Tailor Your Application: Customise your CV and cover letter to reflect the specific requirements of the Applied ML Scientist role. Mention your Master's or PhD and how your background aligns with enhancing ROI and advertising performance.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it's necessary to demonstrate your expertise in machine learning and statistics.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in our remote engineering team!
How to prepare for a job interview at StackAdapt
✨Know Your Algorithms
Make sure you brush up on the latest machine learning algorithms, especially those related to advertising ROI. Be ready to discuss how you've applied these in past projects and how they can be innovated further.
✨Showcase Your Coding Skills
Prepare to demonstrate your coding abilities during the interview. You might be asked to solve a problem on the spot, so practice writing clean, efficient code that reflects your proficiency in relevant programming languages.
✨Understand the Business Impact
It's crucial to connect your technical skills with business outcomes. Be prepared to explain how your work in machine learning can directly enhance advertising performance and ROI for the company.
✨Ask Insightful Questions
Engage with your interviewers by asking thoughtful questions about their current projects and challenges. This shows your genuine interest in the role and helps you understand how you can contribute to their goals.
