Marketing Science Partner in Sydney, Australia

Summary:

To fulfil this mission, the Marketing Science team at Meta is actively seeking a full-time, experienced Marketing Science Partner. A Marketing Science Partner at Meta works with internal and external clients in an industry vertical such as Financial Services, E-commerce, Consumer Packaged Goods, Technology 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 tools and data sets. Driving good measurement with advertisers will require designing tests (conversion lift, brand lift, attribution etc.) and doing research to help clients understand and improve the effectiveness of their advertising across digital platforms and across media. This work will require direct engagement with clients, with media agencies as well as using our third party scaling solutions to help with the set up and running of studies. Conclusions from this work will showcase what good measurement is and how clients can act upon it to drive business impact. The Marketing Science Partner will also focus on customizing existing capabilities or in some cases piloting new, scalable capabilities in partnership with Product, R&D, and Partnerships. Meta is seeking exceptional 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. To successfully influence how advertisers conduct and use measurement, the candidate should be able to work cross-functionally with internal teams and partner closely with the Sales team.

Required Skills:

Marketing Science Partner Responsibilities:

1. Manage a complex set of client relationships across a vertical and work with clients to build and operationalize measurement strategies, including measurement product adoption, learning agendas, and experiments that drive performance improvements and uncover best practices

2. Partner closely with Meta Sales team to manage a set of accounts and prioritize which clients will get servicing from the team

3. Drive client, vertical, and industry adoption of preferred measurement methodologies, best practices, products, and approaches in support of the learning agenda

4. Design tests to showcase the power of good measurement using client data and Meta or third-party technology tools

5. Conduct in-depth standard and custom ad effectiveness studies and bespoke analyses using advanced statistical methods and causal inference techniques for Meta advertisers to understand the relative impact of different marketing strategies across digital platforms and across media

6. Communicate complex research results, insights, and recommendations with a diverse set of technical and non-technical stakeholders

7. Partner closely with cross-functional partners such as Sales, Product, Data Science, Creative Shop, Business Engineering etc

8. Support client engagement with third party vendors responsible for setting up and conducting measurement studies

9. Offer selective consultation with clients & agencies on business hypothesis to test, measurement design & feasibility or insights interpretation

10. Work with advertising and industry bodies to create best in class measurement solutions

11. Operate internal & external education & training workshops to raise awareness & advocacy of Measurement solutions & analytical best practices (auction, use of lift tools…)

Minimum Qualifications:

Minimum Qualifications:

12. Bachelor’s degree in Business, Statistics, Data Science, Economics, Mathematics, Computer Science, Engineering, Sociology or similar

13. Direct experience independently scoping and executing research projects with clients and or cross-functional stakeholders

14. Experience analyzing and manipulating data sets to understand patterns and provide insights

15. Experience leading at an industry level and with clients

16. Experience communicating technical content to all types of audiences (technical and non-technical) and influencing at senior levels

17. Client-facing experience (internal or external), including ability to drive meetings or change through adoption of new products or research methods.

18. Experience with digital advertising measurement methods and technologies

19. Proven excellence in working with structured and unstructured data-sets, statistical software such as R as well as data extraction tools such as Hive, python and/or SQL is a must

20. Experience with field experiments, experimental design, survey sampling, and/or panel data

Preferred Qualifications:

Preferred Qualifications:

21. Advanced degree in a quantitative field

Industry: Internet