Company Name:-
Facebook

Job Location:-
Austin, TX

Job Summary:-
The massive scale and heavy engagement of the people using our products make the Facebook ads platform a powerful growth vehicle for businesses and other marketers.

It also makes Facebook the ideal place to drive cutting edge research to develop innovative marketing strategies in the new mobile and value first world.

The successful candidate will focus on investigating and understanding the current best practices for advertising on Facebook as well as using data science to discover new strategies.

They will also be focused on consulting with advertisers, partnering with our sales stakeholders, and sharing their findings with internal and external audiences.

The team works with advertisers across various tiers and segments to test hypotheses, develop strategies, and educate on the best ways to optimize performance.

The team is made up of data scientists with a diverse set of backgrounds.

Specifically, we have team members with various levels of academic attainment (Bachelor’s, Master’s and PhD), work experience, and professional backgrounds.

The ideal candidate for this position will have a proven track record of analyzing and deriving insights from data.

They will be intellectually curious, a great communicator, data-driven, a fast learner, and able to move fast while keeping focused on high-impact projects.

Applicants should have a strong quantitative understanding, a talent for taking complex concepts and distilling them into clear accessible learnings, and a willingness to empower and help others through sharing their knowledge.

As this team is fundamentally focused on R&D, the candidate must be comfortable with ambiguity and answering broad research questions.

Apply analytical skills to complex quantitative problems, presenting and driving actions from insights to key stakeholders both reactively and proactively
Develop deep understanding of the Facebook Auction, analyzing current performance and developing new strategies for optimization
Work closely with our Marketing Science and sales teams, as well as advertisers directly, to identify, analyze, and scale auction practices
Research applied machine learning questions in our ads system to improve system understanding and drive advertiser value
Identify str

FOR MORE DETAILS CLICK BELOW LINK

Click Here For More Details