At a Glance
- Tasks: Develop advanced measurement methodologies and predictive analytics for marketing effectiveness.
- Company: Join a leading multinational technology firm with a focus on innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Dynamic work environment with a blend of on-site and remote flexibility.
- Why this job: Make an impact in marketing science while working with cutting-edge technologies.
- Qualifications: 6–8 years in marketing analytics, strong programming skills, and database familiarity.
The predicted salary is between 55000 - 70000 £ per year.
A multinational technology firm is seeking a Digital Marketing Data Scientist to enhance marketing science capabilities. The role involves developing advanced measurement methodologies, predictive analytics, and models for marketing effectiveness across various channels.
Candidates should possess 6–8 years of experience in marketing analytics, strong programming skills, and familiarity with databases like Snowflake and BI platforms like Tableau.
This hybrid role supports both on-site and remote work, providing a dynamic work environment.
Marketing Data Scientist: MMM, AI Insights (Hybrid) in London employer: El Camino Health
As a leading multinational technology firm, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. With a strong focus on professional development, we offer extensive growth opportunities and the flexibility of a hybrid work model, allowing you to balance your career with personal commitments. Join us to be part of a forward-thinking team that values creativity and data-driven insights in a vibrant and supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Marketing Data Scientist: MMM, AI Insights (Hybrid) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. 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 projects, especially those involving predictive analytics and marketing effectiveness. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your programming skills and understanding of databases like Snowflake. Be ready to discuss how you've used these tools in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Marketing Data Scientist: MMM, AI Insights (Hybrid) in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your programming skills and experience with databases like Snowflake. We want to see how you can bring your expertise in marketing analytics to the table!
Tailor Your Application:Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Marketing Data Scientist role. We love seeing how your experience aligns with our needs.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your past projects and achievements in marketing effectiveness. We appreciate clarity!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at El Camino Health
✨Know Your Data
Make sure you brush up on your knowledge of marketing analytics and measurement methodologies. Be prepared to discuss specific projects where you've developed predictive models or enhanced marketing effectiveness. This will show that you not only understand the theory but also have practical experience.
✨Showcase Your Programming Skills
Since strong programming skills are a must, be ready to talk about the languages you’re proficient in, especially those relevant to data science like Python or R. If possible, bring examples of code or projects that demonstrate your ability to manipulate data and derive insights.
✨Familiarity with Tools is Key
Get comfortable with the tools mentioned in the job description, like Snowflake and Tableau. If you’ve used these platforms before, prepare to discuss how you leveraged them in your previous roles. If you haven’t, consider doing a quick tutorial to familiarise yourself with their functionalities.
✨Prepare for Hybrid Work Questions
As this role supports both on-site and remote work, think about how you can effectively collaborate in a hybrid environment. Be ready to share your experiences working remotely and how you maintain productivity and communication with your team.
