Job Information
Meta Marketing Science Partner, India in Gurgaon, India
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 Automotive, E-commerce, Entertainment, CPG, Fin-Serv, Tech 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, India Responsibilities:
Engage with clients and agencies to share research-based best practices and measure true business value by building and operationalizing “learning agendas”. The best practices and learning agendas will highlights how a client can improve business outcomes
Work with advertising and industry bodies to create best in class measurement solutions
Partner closely with sales to manage a set of accounts and prioritize which clients will get servicing from the team
Support client engagement with third party vendors responsible for setting up and conducting measurement studies
Drive client, vertical, and industry adoption of preferred measurement methodologies, best practices, products, and approaches in support of the “learning agenda”
Design tests to showcase the power of good measurement using client data and Facebook or third-party technology tools
Conduct in-depth standard and custom ad effectiveness studies for Facebook advertisers to understand the relative impact of different marketing strategies across digital platforms and across media
Communicate complex research results to a general audience
Offer selective consultation with clients & agencies on business hypothesis to test, measurement design & feasibility or insights interpretation
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:
Bachelor’s degree in Business, Statistics, Data Science, Economics, Mathematics, Computer Science, Engineering, Sociology or similar
Direct experience independently scoping and executing research projects with clients and or cross-functional stakeholders
Experience analyzing and manipulating data sets to understand patterns and provide insights
Experience leading at an industry level and with clients
Ability to communicate technical content to 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
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
Experience with field experiments, experimental design, survey sampling, and/or panel data
Preferred Qualifications:
Preferred Qualifications:
- Advanced degree in a quantitative field or an MBA
Industry: Internet