At a Glance
- Tasks: Own the technical backbone of geo holdout experiments and build data pipelines.
- Company: Join WPP, a leading global communications agency based in London.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovation and collaboration.
- Why this job: Make an impact on Prime Video campaigns through data-driven decision making.
- Qualifications: Experience in data science, geospatial data, and media platform APIs.
The predicted salary is between 60750 - 74250 £ per year.
WPP is seeking a Data Scientist for the Open Door geo holdout programme based in London, to own the technical backbone of the geo holdout experiments across Europe.
The role sits at the intersection of geospatial data engineering, media platform APIs, and incrementality measurement.
You will build and operate data pipelines, calibration and verification processes, and provide weekly reporting to stakeholders, enabling data-driven decision making for Prime Video campaigns.
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Geo Holdout Data Scientist – Europe Incrementality employer: PVH
WPP is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. As a Data Scientist, you will have access to cutting-edge technology and resources, alongside ample opportunities for professional growth and development within a global network. Join us to make a meaningful impact on Prime Video campaigns while enjoying a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Geo Holdout Data Scientist – Europe Incrementality
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like PVH.
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We think you need these skills to ace Geo Holdout Data Scientist – Europe Incrementality
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at PVH, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at PVH. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at PVH
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at PVH!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
