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- Tasks: Own the measurement stack to analyse and prove ad spend effectiveness.
- Company: Vysta PMG, a leader in ecommerce ad management with a $200M+ budget.
- Benefits: Competitive salary, flexible work options, and opportunities for growth.
- Other info: Join a dynamic team focused on innovative media strategies.
- Why this job: Make a real impact by ensuring brands trust their advertising data.
- Qualifications: Experience in data analysis and a passion for ecommerce insights.
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 in Nottingham 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 in Nottingham
✨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 in Nottingham
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.
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.
Tailor Your Application: Don’t just send a generic application! Customise your CV and cover letter to reflect how your background aligns with our needs at Vysta PMG. Show us why you’re the perfect fit for this role.
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!
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) relevant to ecommerce and ad spend, especially around ROAS and attribution models. Be ready to discuss how you would approach measuring the effectiveness of different channels.
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in data analysis tools and programming languages like Python or R. Prepare examples of past projects where you've successfully implemented media mix modelling or incrementality testing. This will show that you can handle the technical demands of the role.
✨Understand the Business Context
Familiarise yourself with Vysta PMG's business model and the challenges faced by ecommerce brands regarding ad spend. Being able to articulate how your work as a Data Scientist can directly impact their bottom line will set you apart from other candidates.
✨Prepare Thoughtful Questions
Interviews are a two-way street, so come prepared with insightful questions about the company's approach to data measurement and their future goals. This not only shows your interest but also helps you gauge if the company aligns with your career aspirations.