Marketing Science Partner, UK
London, UK
Meta
Giving people the power to build community and bring the world closer together
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
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 here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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.
- 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.
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 here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Tags: Biostatistics Computer Science Data analysis Economics Engineering Mathematics NumPy Pandas Physics Python R Research SAS SPSS SQL Statistics Unstructured data VR
Perks/benefits: Career development
Region:
Europe
Country:
United Kingdom
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