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- Tasks: Develop econometric models and analyse multi-channel data for marketing insights.
- Company: Join a global lifestyle brand with a focus on innovation.
- Benefits: Hybrid work schedule, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on marketing strategies while working with diverse teams.
- Qualifications: Strong skills in econometric modeling, Python/SQL, and cloud platforms.
- Other info: Flexible work environment with a vibrant company culture.
The predicted salary is between 36000 - 60000 £ per year.
A global lifestyle brand is seeking a qualified MMM Data Scientist to enhance its marketing effectiveness strategy. You will develop MMM and MTA models, analyze multi-channel data for performance insights, and work closely with various teams for model support across different countries.
This role requires strong econometric modeling skills, Python/SQL expertise, and familiarity with cloud platforms like AWS and GCP, with a hybrid work schedule of 2-3 days per week in London.
MMM Data Scientist: Global Marketing Insights employer: FRESHMINDS
Contact Detail:
FRESHMINDS Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land MMM Data Scientist: Global Marketing Insights
✨Tip Number 1
Network like a pro! Reach out to professionals in the marketing and data science fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your MMM and MTA models, along with any multi-channel data analyses you've done. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your econometric modeling skills and Python/SQL expertise. Be ready to discuss how you've used these skills in real-world scenarios, especially in marketing contexts.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive listings that might not be found elsewhere. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace MMM Data Scientist: Global Marketing Insights
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your econometric modeling skills and Python/SQL expertise in your application. We want to see how you can bring your technical know-how to the table, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention your experience with multi-channel data analysis and any relevant projects you've worked on that align with our marketing effectiveness strategy.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key points stand out without unnecessary fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with our global lifestyle brand!
How to prepare for a job interview at FRESHMINDS
✨Know Your Models Inside Out
Make sure you can discuss MMM and MTA models in detail. Be prepared to explain how you've developed these models in the past, the challenges you faced, and how you overcame them. This shows your expertise and gives insight into your problem-solving skills.
✨Showcase Your Data Skills
Brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these languages to analyse multi-channel data. If possible, bring examples of your work or be prepared to talk through your thought process on a relevant case study.
✨Familiarity with Cloud Platforms
Since the role requires knowledge of AWS and GCP, make sure you can speak about your experience with these platforms. Discuss any projects where you've utilised cloud services for data storage or processing, as this will demonstrate your ability to work in a modern data environment.
✨Collaboration is Key
This role involves working closely with various teams across different countries. Prepare examples of how you've successfully collaborated with others in the past, especially in a remote or hybrid setting. Highlight your communication skills and adaptability, as these are crucial for success in a global brand.
