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- Tasks: Own the measurement stack to analyse and prove ad spend effectiveness.
- Company: Vysta PMG, a leader in ecommerce advertising with a $200M+ annual budget.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Join a dynamic team focused on innovative solutions in ecommerce.
- Why this job: Make a real impact by ensuring brands trust their advertising data.
- Qualifications: Experience in data science and a passion for analytics.
The predicted salary is between 50000 - 70000 £ per year.
Vysta PMG manages $200M+ in annual Google and YouTube ad spend across 150+ ecommerce brands. We're hiring a Data Scientist to own the measurement stack that proves what our spend is actually driving.
Most ecommerce brands don't trust the ROAS their ad platforms report — and they're right not to. Last-click attribution overstates what paid is contributing, platform models double-count across channels, and the number on the dashboard rarely matches the number on the P.
Data Scientist — Incrementality & Media Mix Modeling employer: Vysta Paid Media Group
Contact Detail:
Vysta Paid Media Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist — Incrementality & Media Mix Modeling
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at Vysta PMG or similar companies. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data science projects, especially those related to incrementality and media mix modelling. This will help us see your practical experience and how you can contribute to our measurement stack.
✨Tip Number 3
Be ready for the interview! Brush up on your knowledge of ROAS, attribution models, and data analysis techniques. We want to see that you can not only talk the talk but also walk the walk when it comes to proving ad spend effectiveness.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining our team at Vysta PMG.
We think you need these skills to ace Data Scientist — Incrementality & Media Mix Modeling
Some tips for your application 🫡
Show Your Data Skills: Make sure to highlight your experience with data analysis and modelling in your application. We want to see how you've tackled similar challenges in the past, especially when it comes to measuring ad performance and understanding incrementality.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your relevant skills and experiences. Remember, we’re looking for someone who can communicate complex ideas simply!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to our specific needs. Mention how your background aligns with managing large ad spends and your approach to media mix modelling.
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 details about the role. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Vysta Paid Media Group
✨Know Your Numbers
As a Data Scientist, you'll need to demonstrate your understanding of metrics and analytics. Brush up on key performance indicators (KPIs) related to ad spend and return on ad spend (ROAS). Be ready to discuss how you would approach measuring incrementality and the challenges that come with it.
✨Familiarise Yourself with Attribution Models
Understanding different attribution models is crucial for this role. Make sure you can explain the limitations of last-click attribution and how it can misrepresent the effectiveness of ad campaigns. Prepare examples of how you've tackled these issues in past projects or how you would approach them at Vysta PMG.
✨Showcase Your Problem-Solving Skills
Vysta PMG is looking for someone who can think critically about data. Prepare to discuss specific problems you've solved using data analysis. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical skills.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about Vysta PMG's current measurement stack and how they handle data discrepancies. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.