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- Tasks: Engage with clients to improve their marketing strategies using data-driven insights.
- Company: Join Meta's innovative Marketing Science team and shape the future of performance marketing.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by helping brands optimise their advertising through cutting-edge measurement techniques.
- Qualifications: Experience in data analysis, marketing research, and client engagement is essential.
- Other info: Dynamic role with a focus on AI tools and collaboration across diverse industries.
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 ( Russian or Ukrainian) employer: Meta
Contact Detail:
Meta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Science Partner - Performance Marketing ( Russian or Ukrainian)
✨Tip Number 1
Network like a pro! Reach out to people 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
Prepare for interviews by practising common questions related to performance marketing and data analysis. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your skills effectively.
✨Tip Number 3
Showcase your analytical skills! Bring examples of past projects where you’ve used data to drive decisions. This will help you stand out as someone who can deliver actionable insights, just like the role requires.
✨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 ( Russian or Ukrainian)
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 any relevant projects you've worked on that align with the job description. We want to see how you can bring value to our team!
Show Off Your Data Skills: Since this role involves a lot of data analysis, don’t shy away from showcasing your analytical skills. Mention specific tools you’ve used, like SQL or R, and any successful projects where you’ve manipulated data to drive insights. We love seeing numbers that tell a story!
Be Client-Focused: Remember, this position is all about engaging with clients. Share examples of how you've successfully communicated complex ideas to non-technical audiences or how you've driven client engagement in past roles. We’re looking for someone who can build strong relationships!
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’re considered for the role. Plus, it shows 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 insights in past roles, particularly in performance marketing.
✨Understand the Client's Needs
Before the interview, research the types of clients Meta works with in the app tech, e-commerce, and gaming sectors. Think about how you can tailor your experience to meet their specific challenges and opportunities.
✨Showcase Your Analytical Skills
Prepare examples of how you've designed tests or conducted ad effectiveness studies in previous roles. Be ready to explain your thought process and how your recommendations led to improved business outcomes.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. You’ll need to demonstrate that you can communicate technical content effectively to a general audience, so think of ways to simplify your past experiences for clarity.