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- Tasks: Transform marketing practices using data and science to drive business growth.
- Company: Join Meta, a leader in digital advertising and data science.
- Benefits: Gain hands-on experience with industry-leading tools and collaborate with diverse teams.
- Why this job: Make a direct impact on business outcomes while developing valuable skills in data analysis and marketing.
- Qualifications: Bachelor's degree in relevant fields and experience in Marketing Science projects required.
- Other info: Meta values diversity and provides accommodations for candidates with disabilities.
The predicted salary is between 36000 - 60000 £ per year.
As a Marketing Science Partner at Meta, you’ll have the opportunity to drive business growth by transforming marketing practices grounded in data and science. Achieved by generating data-driven insights, taking complex concepts and distilling them into clear, accessible formats. You’ll work closely with advertisers, using Meta’s industry-leading data science tools and data sets to design experiments and conduct research that helps clients understand and improve the effectiveness of their advertising across digital platforms and traditional media. Your work will have a direct impact on driving business outcomes, making this a highly rewarding role for those who enjoy working with data that leads to tangible results. In addition to working directly with clients, you’ll also collaborate with cross-functional teams such as Creative Shop, Ads Research, Product Marketing, and Sales. This will give you the opportunity to develop a broad range of skills and expertise, from data analysis and
research design to communication and project management. If you’re looking for a role that combines data science, marketing, and business acumen, then this could be a great opportunity for you.
Marketing Science Partner, UK Responsibilities
Drive client, vertical, and industry adoption of preferred measurement methodologies, best practices, products, and approaches.
Support client engagement with third party vendors responsible for setting up and conducting measurement studies.
Design tests to showcase the power of robust measurement using client data and Meta or third-party technology tools.
Conduct in-depth standard and custom ad effectiveness studies for Meta advertisers to understand the relative impact of different marketing strategies across digital platforms and across media.
Communicate complex research results to a general audience.
Operate internal & external education & training workshops to raise awareness & advocacy of measurement solutions & analytical best practices.
Convey client priorities and requirements to continuously improve product., Explore jobs that match your skills and experience. Search by technology, team or location to find an opening that’s right for you.
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Equal Employment Opportunity and Affirmative Action
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice .
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need assistance or an accommodation due to a disability, fill out the
Bachelor’s degree in Business, Statistics, Biostatistics, Data Science, Economics, Mathematics, Computer Science, Engineering, Sociology or similar.
Direct experience in scoping and executing Marketing Science projects.
Experience in analysing and working with data sets to understand patterns and provide insights.
Experience in communicating technical content to a general audience.
Client-facing experience (internal or external), including the capacity to drive meetings or change through adoption of new products or research methods.
Experience with digital advertising measurement methods and technologies.
Experience in working with structured and unstructured data-sets, statistical software such as R, SPSS, SAS as well as data extraction tools such as Hive and/or SQL.
Experience with field experiments, experimental design, survey sampling, and/or panel data.
Experience in working with structured and unstructured data-sets, statistical software such as R, SPSS, SAS, Python (including libraries such as Pandas and NumPy), as well as data extraction tools such as Hive and/or SQL.
Marketing Science Partner, UK employer: Meta
Contact Detail:
Meta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Science Partner, UK
✨Tip Number 1
Familiarize yourself with Meta's data science tools and methodologies. Understanding how to leverage these tools will not only help you in your role but also demonstrate your proactive approach during interviews.
✨Tip Number 2
Network with professionals in the marketing science field, especially those who have experience with Meta. Engaging in conversations can provide insights into the company culture and expectations, which can be invaluable during the application process.
✨Tip Number 3
Stay updated on the latest trends in digital advertising measurement and analytics. Being knowledgeable about current industry practices will allow you to speak confidently about how you can contribute to Meta's goals.
✨Tip Number 4
Prepare to discuss specific examples of how you've used data to drive business outcomes in past roles. This will showcase your ability to translate complex data into actionable insights, a key aspect of the Marketing Science Partner position.
We think you need these skills to ace Marketing Science Partner, UK
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Marketing Science Partner position at Meta. Understand the key responsibilities and required skills, especially those related to data analysis, marketing practices, and client engagement.
Tailor Your CV: Customize your CV to highlight relevant experience in data science, marketing, and client-facing roles. Emphasize any direct experience with marketing science projects and your ability to communicate complex data insights clearly.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data-driven marketing and your understanding of how it can drive business growth. Mention specific examples of past projects where you successfully used data to inform marketing strategies.
Showcase Technical Skills: In your application, be sure to mention your proficiency with statistical software (like R, SPSS, or Python) and your experience with data extraction tools. Highlight any relevant projects that demonstrate your ability to analyze structured and unstructured data sets.
How to prepare for a job interview at Meta
✨Showcase Your Data Skills
Be prepared to discuss your experience with data analysis and the tools you've used, such as R, SQL, or Python. Highlight specific projects where you transformed complex data into actionable insights.
✨Communicate Clearly
Since you'll need to convey complex research results to a general audience, practice explaining technical concepts in simple terms. Use examples from your past experiences to demonstrate your ability to communicate effectively.
✨Understand Marketing Measurement
Familiarize yourself with various marketing measurement methodologies and be ready to discuss how you've applied them in previous roles. This will show your understanding of the industry's best practices.
✨Prepare for Client Engagement Scenarios
Think of examples where you've successfully engaged with clients or stakeholders. Be ready to discuss how you drove meetings or facilitated the adoption of new products or research methods.
