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- Tasks: Engage with clients to improve their marketing strategies using data-driven insights and innovative measurement techniques.
- Company: Join Meta's dynamic Marketing Science team, a leader in performance marketing and analytics.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by helping brands optimise their advertising through cutting-edge AI and analytics.
- Qualifications: 5+ years in data analysis, strong communication skills, and experience in digital advertising.
- Other info: Collaborative environment with a focus on continuous learning and industry-leading tools.
The predicted salary is between 60000 - 80000 ÂŁ per year.
Marketing Science team at Meta is actively seeking a full-time Marketing Science Partner with demonstrated experience in Performance Marketing. A Marketing Science Partner at Meta works with internal and external clients in industry verticals such as App tech, E-commerce, Gaming Retail etc. on an ongoing basis to adopt better measurement as a way to improve business outcomes.
To accomplish this, the person in this role will work both reactively and proactively with clients, using Meta’s industry leading data science and AI tools and data sets. Driving good measurement with advertisers will require designing tests to measure incremental lift of marketing activations (conversion lift, brand lift) or tackle complex attribution questions. In this role, the person needs to use data skills to build actionable recommendations to help clients understand and improve the effectiveness of their advertising across digital platforms and across media.
The Marketing Science Partner will also focus on customizing existing or in some cases piloting new, scalable capabilities in partnership with Meta Product teams, R&D, and Partnerships. Meta is seeking experienced candidates to join the Marketing Science team with proven analytical and critical thinking skills as well as familiarity with large data sets, Marketing research and data manipulation tools and familiarity with AI-enabled analytical workflows (or eagerness to rapidly upskill) with foundational working knowledge of modern AI/LLM tools and concepts.
To successfully influence how advertisers conduct and use measurement, the person should have a track record of work in cross-functionally with internal teams and partner closely with the Sales team.
Responsibilities:- Engage with clients to share insights & research-based best practices and measure true business value by building and operationalising “learning agendas”.
- Drive client, vertical, and industry adoption of preferred measurement methodologies, best practices, products, and approaches in support of the recommended solutions.
- Offer selective consultation with clients on business hypothesis to test, measurement design & feasibility or insights interpretation.
- Design tests to showcase the power of 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.
- Operate internal & external education & training workshops to raise awareness & advocacy of Measurement solutions & analytical best practices.
- Communicate complex research results to a general audience on client side.
- Work with advertising and industry bodies to create best in class measurement solutions.
- Support client engagement with third party vendors responsible for setting up and conducting measurement studies.
- Bachelor’s degree in Business, Statistics, Data Science, Economics, Mathematics, Computer Science, Engineering, or similar.
- English proficiency is required. Ukrainian or Russian language skills are a significant asset as this team partners with clients in Central and Eastern Europe.
- Direct experience in scoping and executing analytical or research projects with clients and or cross-functional stakeholders.
- 5+ years of experience analyzing and manipulating data sets to understand patterns and provide insights.
- Proven experience in working with structured and unstructured data-sets, statistical software such as R, SQL is a must.
- Ability to communicate technical content to a general audience.
- Client-facing experience (internal or external), including ability to drive meetings or change through adoption of new products or research methods.
- Experience with digital advertising measurement methods and technologies.
- Experience with field experiments, experimental design, survey sampling, and/or panel data.
- Proven experience working with app and e-commerce verticals, demonstrating a great understanding of the unique challenges and opportunities within these industries.
- AI-native mindset (or eagerness to rapidly upskill) with foundational working knowledge of modern AI/LLM tools and concepts.
Marketing Science Partner - Performance Marketing empowered by Research, Analytics and AI employer: Meta
Contact Detail:
Meta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Science Partner - Performance Marketing empowered by Research, Analytics and AI
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at Meta or similar companies. Use LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with performance marketing and data analysis. When you get the chance to chat with potential employers, share these insights to demonstrate your expertise.
✨Tip Number 3
Practice makes perfect! Get comfortable discussing complex topics like measurement methodologies and AI tools. Mock interviews with friends or mentors can help you articulate your thoughts clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Meta.
We think you need these skills to ace Marketing Science Partner - Performance Marketing empowered by Research, Analytics and AI
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Marketing Science Partner role. Highlight your experience in Performance Marketing and how it aligns with the responsibilities mentioned in the job description. We want to see how you can bring value to our team!
Showcase Your Data Skills: Since this role involves working with large data sets and analytical tools, be sure to emphasise your experience with data manipulation and any relevant software like R or SQL. We love candidates who can demonstrate their analytical prowess and how it can benefit our clients.
Communicate Clearly: Remember, you’ll need to explain complex concepts to clients who may not have a technical background. Use clear, straightforward language in your application to show us that you can communicate effectively. We appreciate candidates who can bridge the gap between data and actionable insights!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Meta
✨Know Your Data
Make sure you brush up on your data manipulation skills, especially with tools like R and SQL. Be ready to discuss how you've used data to drive marketing decisions in the past, as this role heavily relies on analytical insights.
✨Understand Performance Marketing
Familiarise yourself with the latest trends and methodologies in performance marketing. Be prepared to share examples of how you've designed tests or measured marketing effectiveness, as this will show your hands-on experience in the field.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. You'll need to communicate technical content to clients who may not have a data background, so being able to break down your insights is crucial for success.
✨Show Your Client Engagement Skills
Think of examples where you've successfully engaged with clients or stakeholders. Highlight your ability to drive meetings and influence decisions, as this role requires strong client-facing skills and collaboration with various teams.