As a GBG Data Scientist at Meta, you will have the opportunity to help large and medium sized businesses grow and thrive by leveraging Meta’s suite of ads products to their full potential. Applying your technical skills, analytical mindset, and business intuition to one of the richest data sets in the world, you will help direct the experiences and products we build for businesses around the globe. You will collaborate on a wide array of business and product problems with a diverse set of cross-functional partners across Sales, Product, Engineering, Marketing, Finance and others. You will influence strategy and investment decisions with data, be focused on impact, and help establish best practices. The ideal candidate for this role will have a proven track record of leveraging advanced measurement and modeling techniques to solve business problems, enable measurement and goaling, derive insights, and influence decisions. They will be an intellectually curious thought leader, a great communicator, data-driven, 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.

Data Scientist, GBG Responsibilities:

• Take advantage of massive amounts of structured and unstructured data to understand how Meta’s advertisers interact with our ads products and service offerings.
• Leverage advanced modeling and causal inference methods to identify and quantify opportunities for improvement of various service offerings and ads products.
• Develop a deep understanding of how the ads product stack and ads auction dynamics impact advertisers to help inform advertiser guidance and product development.
• Work with XFN and org leaders to define metrics and the principles and criteria that should govern measurement and goaling best practices.
• Lead the design, analysis, and interpretation of projects from data requirement gathering to data processing, modeling, recommendations, and proactively influencing cross functional teams.
• Effectively communicate insights and recommendations to business leads and influence strategic decision-making.

Minimum Qualifications:

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
• A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.).
• Experience with experimental design and causal inference.
• Experience with data querying and manipulation using SQL, Python, or R.
• Experience with data analysis and statistical modeling using the R or Python ecosystems, with packages such as pandas, statsmodels, scikit-learn, tidyverse (dplyr, ggplot2, etc.).
• Effective communication skills

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